Overview

Dataset statistics

Number of variables59
Number of observations91
Missing cells1985
Missing cells (%)37.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory42.1 KiB
Average record size in memory473.4 B

Variable types

Numeric11
Categorical39
Unsupported9

Alerts

airdate has constant value "2020-12-28" Constant
url has a high cardinality: 91 distinct values High cardinality
name has a high cardinality: 72 distinct values High cardinality
_links.self.href has a high cardinality: 91 distinct values High cardinality
_embedded.show.url has a high cardinality: 56 distinct values High cardinality
_embedded.show.name has a high cardinality: 56 distinct values High cardinality
_embedded.show.image.medium has a high cardinality: 53 distinct values High cardinality
_embedded.show.image.original has a high cardinality: 53 distinct values High cardinality
_embedded.show._links.self.href has a high cardinality: 56 distinct values High cardinality
_embedded.show._links.previousepisode.href has a high cardinality: 56 distinct values High cardinality
id is highly correlated with _embedded.show.id and 2 other fieldsHigh correlation
season is highly correlated with rating.average and 2 other fieldsHigh correlation
number is highly correlated with _embedded.show.rating.average and 2 other fieldsHigh correlation
runtime is highly correlated with _embedded.show.runtime and 2 other fieldsHigh correlation
rating.average is highly correlated with season and 3 other fieldsHigh correlation
_embedded.show.id is highly correlated with id and 3 other fieldsHigh correlation
_embedded.show.runtime is highly correlated with runtime and 2 other fieldsHigh correlation
_embedded.show.averageRuntime is highly correlated with runtime and 2 other fieldsHigh correlation
_embedded.show.rating.average is highly correlated with id and 5 other fieldsHigh correlation
_embedded.show.weight is highly correlated with _embedded.show.id and 1 other fieldsHigh correlation
_embedded.show.webChannel.id is highly correlated with rating.average and 3 other fieldsHigh correlation
_embedded.show.externals.tvrage is highly correlated with id and 11 other fieldsHigh correlation
_embedded.show.externals.thetvdb is highly correlated with season and 4 other fieldsHigh correlation
_embedded.show.updated is highly correlated with _embedded.show.rating.average and 2 other fieldsHigh correlation
_embedded.show.network.id is highly correlated with _embedded.show.rating.average and 3 other fieldsHigh correlation
id is highly correlated with _embedded.show.rating.average and 1 other fieldsHigh correlation
season is highly correlated with number and 3 other fieldsHigh correlation
number is highly correlated with season and 3 other fieldsHigh correlation
runtime is highly correlated with rating.average and 3 other fieldsHigh correlation
rating.average is highly correlated with season and 7 other fieldsHigh correlation
_embedded.show.id is highly correlated with rating.average and 3 other fieldsHigh correlation
_embedded.show.runtime is highly correlated with runtime and 3 other fieldsHigh correlation
_embedded.show.averageRuntime is highly correlated with runtime and 3 other fieldsHigh correlation
_embedded.show.rating.average is highly correlated with id and 3 other fieldsHigh correlation
_embedded.show.weight is highly correlated with _embedded.show.externals.tvrage and 1 other fieldsHigh correlation
_embedded.show.webChannel.id is highly correlated with rating.average and 3 other fieldsHigh correlation
_embedded.show.externals.tvrage is highly correlated with season and 9 other fieldsHigh correlation
_embedded.show.externals.thetvdb is highly correlated with rating.average and 2 other fieldsHigh correlation
_embedded.show.updated is highly correlated with _embedded.show.rating.average and 2 other fieldsHigh correlation
_embedded.show.network.id is highly correlated with id and 9 other fieldsHigh correlation
id is highly correlated with _embedded.show.idHigh correlation
season is highly correlated with rating.average and 1 other fieldsHigh correlation
number is highly correlated with _embedded.show.rating.averageHigh correlation
runtime is highly correlated with _embedded.show.runtime and 2 other fieldsHigh correlation
rating.average is highly correlated with season and 1 other fieldsHigh correlation
_embedded.show.id is highly correlated with id and 2 other fieldsHigh correlation
_embedded.show.runtime is highly correlated with runtime and 2 other fieldsHigh correlation
_embedded.show.averageRuntime is highly correlated with runtime and 2 other fieldsHigh correlation
_embedded.show.rating.average is highly correlated with number and 3 other fieldsHigh correlation
_embedded.show.weight is highly correlated with _embedded.show.externals.tvrageHigh correlation
_embedded.show.webChannel.id is highly correlated with rating.average and 3 other fieldsHigh correlation
_embedded.show.externals.tvrage is highly correlated with runtime and 6 other fieldsHigh correlation
_embedded.show.externals.thetvdb is highly correlated with season and 1 other fieldsHigh correlation
_embedded.show.updated is highly correlated with _embedded.show.rating.average and 1 other fieldsHigh correlation
_embedded.show.network.id is highly correlated with _embedded.show.rating.average and 3 other fieldsHigh correlation
id is highly correlated with url and 27 other fieldsHigh correlation
url is highly correlated with id and 47 other fieldsHigh correlation
name is highly correlated with id and 46 other fieldsHigh correlation
season is highly correlated with url and 25 other fieldsHigh correlation
number is highly correlated with url and 33 other fieldsHigh correlation
type is highly correlated with url and 15 other fieldsHigh correlation
airtime is highly correlated with url and 40 other fieldsHigh correlation
airstamp is highly correlated with id and 43 other fieldsHigh correlation
runtime is highly correlated with url and 44 other fieldsHigh correlation
summary is highly correlated with id and 35 other fieldsHigh correlation
rating.average is highly correlated with url and 31 other fieldsHigh correlation
image.medium is highly correlated with id and 40 other fieldsHigh correlation
image.original is highly correlated with id and 40 other fieldsHigh correlation
_links.self.href is highly correlated with id and 47 other fieldsHigh correlation
_embedded.show.id is highly correlated with id and 43 other fieldsHigh correlation
_embedded.show.url is highly correlated with id and 47 other fieldsHigh correlation
_embedded.show.name is highly correlated with id and 47 other fieldsHigh correlation
_embedded.show.type is highly correlated with id and 39 other fieldsHigh correlation
_embedded.show.language is highly correlated with id and 42 other fieldsHigh correlation
_embedded.show.status is highly correlated with url and 37 other fieldsHigh correlation
_embedded.show.runtime is highly correlated with url and 44 other fieldsHigh correlation
_embedded.show.averageRuntime is highly correlated with url and 45 other fieldsHigh correlation
_embedded.show.premiered is highly correlated with id and 47 other fieldsHigh correlation
_embedded.show.ended is highly correlated with url and 34 other fieldsHigh correlation
_embedded.show.officialSite is highly correlated with id and 47 other fieldsHigh correlation
_embedded.show.schedule.time is highly correlated with id and 41 other fieldsHigh correlation
_embedded.show.rating.average is highly correlated with url and 35 other fieldsHigh correlation
_embedded.show.weight is highly correlated with id and 44 other fieldsHigh correlation
_embedded.show.webChannel.id is highly correlated with url and 33 other fieldsHigh correlation
_embedded.show.webChannel.name is highly correlated with id and 39 other fieldsHigh correlation
_embedded.show.webChannel.country.name is highly correlated with id and 35 other fieldsHigh correlation
_embedded.show.webChannel.country.code is highly correlated with id and 35 other fieldsHigh correlation
_embedded.show.webChannel.country.timezone is highly correlated with id and 35 other fieldsHigh correlation
_embedded.show.webChannel.officialSite is highly correlated with url and 32 other fieldsHigh correlation
_embedded.show.externals.tvrage is highly correlated with url and 22 other fieldsHigh correlation
_embedded.show.externals.thetvdb is highly correlated with url and 38 other fieldsHigh correlation
_embedded.show.externals.imdb is highly correlated with id and 45 other fieldsHigh correlation
_embedded.show.image.medium is highly correlated with id and 47 other fieldsHigh correlation
_embedded.show.image.original is highly correlated with id and 47 other fieldsHigh correlation
_embedded.show.summary is highly correlated with id and 46 other fieldsHigh correlation
_embedded.show.updated is highly correlated with id and 38 other fieldsHigh correlation
_embedded.show._links.self.href is highly correlated with id and 47 other fieldsHigh correlation
_embedded.show._links.previousepisode.href is highly correlated with id and 47 other fieldsHigh correlation
_embedded.show._links.nextepisode.href is highly correlated with id and 32 other fieldsHigh correlation
_embedded.show.network.id is highly correlated with url and 30 other fieldsHigh correlation
_embedded.show.network.name is highly correlated with url and 30 other fieldsHigh correlation
_embedded.show.network.country.name is highly correlated with url and 30 other fieldsHigh correlation
_embedded.show.network.country.code is highly correlated with url and 30 other fieldsHigh correlation
_embedded.show.network.country.timezone is highly correlated with url and 30 other fieldsHigh correlation
number has 1 (1.1%) missing values Missing
runtime has 3 (3.3%) missing values Missing
summary has 74 (81.3%) missing values Missing
rating.average has 87 (95.6%) missing values Missing
image.medium has 78 (85.7%) missing values Missing
image.original has 78 (85.7%) missing values Missing
_embedded.show.language has 2 (2.2%) missing values Missing
_embedded.show.runtime has 16 (17.6%) missing values Missing
_embedded.show.averageRuntime has 2 (2.2%) missing values Missing
_embedded.show.ended has 44 (48.4%) missing values Missing
_embedded.show.officialSite has 18 (19.8%) missing values Missing
_embedded.show.rating.average has 85 (93.4%) missing values Missing
_embedded.show.network has 91 (100.0%) missing values Missing
_embedded.show.webChannel.id has 11 (12.1%) missing values Missing
_embedded.show.webChannel.name has 11 (12.1%) missing values Missing
_embedded.show.webChannel.country.name has 47 (51.6%) missing values Missing
_embedded.show.webChannel.country.code has 47 (51.6%) missing values Missing
_embedded.show.webChannel.country.timezone has 47 (51.6%) missing values Missing
_embedded.show.webChannel.officialSite has 46 (50.5%) missing values Missing
_embedded.show.dvdCountry has 91 (100.0%) missing values Missing
_embedded.show.externals.tvrage has 88 (96.7%) missing values Missing
_embedded.show.externals.thetvdb has 25 (27.5%) missing values Missing
_embedded.show.externals.imdb has 41 (45.1%) missing values Missing
_embedded.show.image.medium has 6 (6.6%) missing values Missing
_embedded.show.image.original has 6 (6.6%) missing values Missing
_embedded.show.summary has 11 (12.1%) missing values Missing
image has 91 (100.0%) missing values Missing
_embedded.show._links.nextepisode.href has 84 (92.3%) missing values Missing
_embedded.show.webChannel.country has 91 (100.0%) missing values Missing
_embedded.show.image has 91 (100.0%) missing values Missing
_embedded.show.network.id has 78 (85.7%) missing values Missing
_embedded.show.network.name has 78 (85.7%) missing values Missing
_embedded.show.network.country.name has 78 (85.7%) missing values Missing
_embedded.show.network.country.code has 78 (85.7%) missing values Missing
_embedded.show.network.country.timezone has 78 (85.7%) missing values Missing
_embedded.show.network.officialSite has 91 (100.0%) missing values Missing
_embedded.show.webChannel has 91 (100.0%) missing values Missing
url is uniformly distributed Uniform
name is uniformly distributed Uniform
summary is uniformly distributed Uniform
rating.average is uniformly distributed Uniform
image.medium is uniformly distributed Uniform
image.original is uniformly distributed Uniform
_links.self.href is uniformly distributed Uniform
_embedded.show.externals.tvrage is uniformly distributed Uniform
_embedded.show._links.nextepisode.href is uniformly distributed Uniform
id has unique values Unique
url has unique values Unique
_links.self.href has unique values Unique
_embedded.show.genres is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.schedule.days is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.network is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.dvdCountry is an unsupported type, check if it needs cleaning or further analysis Unsupported
image is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.webChannel.country is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.image is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.network.officialSite is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.webChannel is an unsupported type, check if it needs cleaning or further analysis Unsupported

Reproduction

Analysis started2022-09-05 04:46:38.071172
Analysis finished2022-09-05 04:46:53.633411
Duration15.56 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

id
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2043660.033
Minimum1969064
Maximum2368299
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size856.0 B
2022-09-04T23:46:53.683411image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1969064
5-th percentile1976048.5
Q11988608
median1995585
Q32035450.5
95-th percentile2303995.5
Maximum2368299
Range399235
Interquartile range (IQR)46842.5

Descriptive statistics

Standard deviation100354.2429
Coefficient of variation (CV)0.04910515511
Kurtosis2.504557836
Mean2043660.033
Median Absolute Deviation (MAD)10780
Skewness1.878818039
Sum185973063
Variance1.007097407 × 1010
MonotonicityNot monotonic
2022-09-04T23:46:53.786002image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19779011
 
1.1%
22898771
 
1.1%
22111381
 
1.1%
22044521
 
1.1%
21975991
 
1.1%
21972921
 
1.1%
20722291
 
1.1%
20343611
 
1.1%
20325161
 
1.1%
20076861
 
1.1%
Other values (81)81
89.0%
ValueCountFrequency (%)
19690641
1.1%
19707691
1.1%
19720601
1.1%
19727141
1.1%
19760481
1.1%
19760491
1.1%
19774201
1.1%
19779011
1.1%
19792181
1.1%
19804041
1.1%
ValueCountFrequency (%)
23682991
1.1%
23539191
1.1%
23244221
1.1%
23244211
1.1%
23181141
1.1%
22898771
1.1%
22396111
1.1%
22111381
1.1%
22044521
1.1%
21975991
1.1%

url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size856.0 B
https://www.tvmaze.com/episodes/1977901/obycnaa-zensina-2x05-seria-14
 
1
https://www.tvmaze.com/episodes/2289877/discover-destination-ua-2x20-chornobyl-ukraine-first-impression
 
1
https://www.tvmaze.com/episodes/2211138/tunelis-1x05-episode-5
 
1
https://www.tvmaze.com/episodes/2204452/the-motive-1x02-episode-2
 
1
https://www.tvmaze.com/episodes/2197599/peace-of-mind-with-taraji-1x05-holiday-blues-with-mary-j-blige
 
1
Other values (86)
86 

Length

Max length127
Median length98
Mean length79
Min length58

Characters and Unicode

Total characters7189
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/1977901/obycnaa-zensina-2x05-seria-14
2nd rowhttps://www.tvmaze.com/episodes/2164196/ispoved-1x10-aem-tillmari
3rd rowhttps://www.tvmaze.com/episodes/1982411/volk-1x13-seria-13
4th rowhttps://www.tvmaze.com/episodes/1982412/volk-1x14-seria-14
5th rowhttps://www.tvmaze.com/episodes/2062930/god-of-ten-thousand-realms-1x05-episode-5

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1977901/obycnaa-zensina-2x05-seria-141
 
1.1%
https://www.tvmaze.com/episodes/2289877/discover-destination-ua-2x20-chornobyl-ukraine-first-impression1
 
1.1%
https://www.tvmaze.com/episodes/2211138/tunelis-1x05-episode-51
 
1.1%
https://www.tvmaze.com/episodes/2204452/the-motive-1x02-episode-21
 
1.1%
https://www.tvmaze.com/episodes/2197599/peace-of-mind-with-taraji-1x05-holiday-blues-with-mary-j-blige1
 
1.1%
https://www.tvmaze.com/episodes/2197292/struggle-meals-1x16-potatoes-gonna-potate1
 
1.1%
https://www.tvmaze.com/episodes/2072229/top-dog-fighting-championship-6x02-majk-vooruzennyj-vs-gazi-zohan1
 
1.1%
https://www.tvmaze.com/episodes/2034361/lulu-1x02-episode-21
 
1.1%
https://www.tvmaze.com/episodes/2032516/booba-1x74-space-adventure1
 
1.1%
https://www.tvmaze.com/episodes/2007686/my-best-friends-story-1x02-episode-21
 
1.1%
Other values (81)81
89.0%

Length

2022-09-04T23:46:53.901226image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1977901/obycnaa-zensina-2x05-seria-141
 
1.1%
https://www.tvmaze.com/episodes/1997810/uznat-za-10-sekund-s04-special-novogodnij-koncert-perspektivnyh-indi-muzykantov-2021-go1
 
1.1%
https://www.tvmaze.com/episodes/1982411/volk-1x13-seria-131
 
1.1%
https://www.tvmaze.com/episodes/1982412/volk-1x14-seria-141
 
1.1%
https://www.tvmaze.com/episodes/2062930/god-of-ten-thousand-realms-1x05-episode-51
 
1.1%
https://www.tvmaze.com/episodes/2140389/going-seventeen-2020-12-28-ttt-1-hyperrealism-ver1
 
1.1%
https://www.tvmaze.com/episodes/2353919/300-year-old-class-of-2020-1x06-episode-61
 
1.1%
https://www.tvmaze.com/episodes/2324421/unique-lady-2x09-episode-91
 
1.1%
https://www.tvmaze.com/episodes/2324422/unique-lady-2x10-episode-101
 
1.1%
https://www.tvmaze.com/episodes/1998598/unique-lady-2-1x09-episode-91
 
1.1%
Other values (81)81
89.0%

Most occurring characters

ValueCountFrequency (%)
e662
 
9.2%
-554
 
7.7%
s490
 
6.8%
/455
 
6.3%
t437
 
6.1%
o390
 
5.4%
w302
 
4.2%
i265
 
3.7%
p264
 
3.7%
a247
 
3.4%
Other values (30)3123
43.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4828
67.2%
Decimal Number1079
 
15.0%
Other Punctuation728
 
10.1%
Dash Punctuation554
 
7.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e662
13.7%
s490
 
10.1%
t437
 
9.1%
o390
 
8.1%
w302
 
6.3%
i265
 
5.5%
p264
 
5.5%
a247
 
5.1%
m224
 
4.6%
d194
 
4.0%
Other values (16)1353
28.0%
Decimal Number
ValueCountFrequency (%)
1240
22.2%
2151
14.0%
9144
13.3%
0125
11.6%
882
 
7.6%
477
 
7.1%
376
 
7.0%
574
 
6.9%
763
 
5.8%
647
 
4.4%
Other Punctuation
ValueCountFrequency (%)
/455
62.5%
.182
 
25.0%
:91
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-554
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4828
67.2%
Common2361
32.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e662
13.7%
s490
 
10.1%
t437
 
9.1%
o390
 
8.1%
w302
 
6.3%
i265
 
5.5%
p264
 
5.5%
a247
 
5.1%
m224
 
4.6%
d194
 
4.0%
Other values (16)1353
28.0%
Common
ValueCountFrequency (%)
-554
23.5%
/455
19.3%
1240
10.2%
.182
 
7.7%
2151
 
6.4%
9144
 
6.1%
0125
 
5.3%
:91
 
3.9%
882
 
3.5%
477
 
3.3%
Other values (4)260
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7189
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e662
 
9.2%
-554
 
7.7%
s490
 
6.8%
/455
 
6.3%
t437
 
6.1%
o390
 
5.4%
w302
 
4.2%
i265
 
3.7%
p264
 
3.7%
a247
 
3.4%
Other values (30)3123
43.4%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM

Distinct72
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Memory size856.0 B
Episode 9
 
4
Episode 2
 
3
Episode 10
 
3
Episode 11
 
3
Серия 14
 
2
Other values (67)
76 

Length

Max length56
Median length46
Mean length15.74725275
Min length7

Characters and Unicode

Total characters1433
Distinct characters105
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)63.7%

Sample

1st rowСерия 14
2nd rowАэм Тиллмари
3rd rowСерия 13
4th rowСерия 14
5th rowEpisode 5

Common Values

ValueCountFrequency (%)
Episode 94
 
4.4%
Episode 23
 
3.3%
Episode 103
 
3.3%
Episode 113
 
3.3%
Серия 142
 
2.2%
Episode 122
 
2.2%
Episode 72
 
2.2%
Episode 202
 
2.2%
Episode 192
 
2.2%
Episode 142
 
2.2%
Other values (62)66
72.5%

Length

2022-09-04T23:46:54.003224image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
episode42
 
15.9%
6
 
2.3%
25
 
1.9%
the5
 
1.9%
94
 
1.5%
серия4
 
1.5%
144
 
1.5%
a4
 
1.5%
53
 
1.1%
for3
 
1.1%
Other values (156)184
69.7%

Most occurring characters

ValueCountFrequency (%)
173
 
12.1%
e130
 
9.1%
o88
 
6.1%
i86
 
6.0%
s82
 
5.7%
d55
 
3.8%
r52
 
3.6%
p52
 
3.6%
E46
 
3.2%
a43
 
3.0%
Other values (95)626
43.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter929
64.8%
Uppercase Letter175
 
12.2%
Space Separator173
 
12.1%
Decimal Number117
 
8.2%
Other Punctuation20
 
1.4%
Dash Punctuation11
 
0.8%
Open Punctuation2
 
0.1%
Close Punctuation2
 
0.1%
Initial Punctuation2
 
0.1%
Final Punctuation2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e130
14.0%
o88
 
9.5%
i86
 
9.3%
s82
 
8.8%
d55
 
5.9%
r52
 
5.6%
p52
 
5.6%
a43
 
4.6%
n40
 
4.3%
t39
 
4.2%
Other values (43)262
28.2%
Uppercase Letter
ValueCountFrequency (%)
E46
26.3%
S16
 
9.1%
L11
 
6.3%
P11
 
6.3%
F10
 
5.7%
A10
 
5.7%
T9
 
5.1%
B7
 
4.0%
H7
 
4.0%
C6
 
3.4%
Other values (20)42
24.0%
Decimal Number
ValueCountFrequency (%)
132
27.4%
222
18.8%
411
 
9.4%
011
 
9.4%
310
 
8.5%
89
 
7.7%
97
 
6.0%
66
 
5.1%
55
 
4.3%
74
 
3.4%
Other Punctuation
ValueCountFrequency (%)
.7
35.0%
,5
25.0%
#3
15.0%
:2
 
10.0%
'2
 
10.0%
?1
 
5.0%
Space Separator
ValueCountFrequency (%)
173
100.0%
Dash Punctuation
ValueCountFrequency (%)
-11
100.0%
Open Punctuation
ValueCountFrequency (%)
(2
100.0%
Close Punctuation
ValueCountFrequency (%)
)2
100.0%
Initial Punctuation
ValueCountFrequency (%)
«2
100.0%
Final Punctuation
ValueCountFrequency (%)
»2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1003
70.0%
Common329
 
23.0%
Cyrillic101
 
7.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e130
 
13.0%
o88
 
8.8%
i86
 
8.6%
s82
 
8.2%
d55
 
5.5%
r52
 
5.2%
p52
 
5.2%
E46
 
4.6%
a43
 
4.3%
n40
 
4.0%
Other values (40)329
32.8%
Cyrillic
ValueCountFrequency (%)
и11
 
10.9%
о9
 
8.9%
р8
 
7.9%
н8
 
7.9%
е7
 
6.9%
а5
 
5.0%
я4
 
4.0%
к4
 
4.0%
в3
 
3.0%
С3
 
3.0%
Other values (23)39
38.6%
Common
ValueCountFrequency (%)
173
52.6%
132
 
9.7%
222
 
6.7%
411
 
3.3%
-11
 
3.3%
011
 
3.3%
310
 
3.0%
89
 
2.7%
.7
 
2.1%
97
 
2.1%
Other values (12)36
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1325
92.5%
Cyrillic101
 
7.0%
None7
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
173
 
13.1%
e130
 
9.8%
o88
 
6.6%
i86
 
6.5%
s82
 
6.2%
d55
 
4.2%
r52
 
3.9%
p52
 
3.9%
E46
 
3.5%
a43
 
3.2%
Other values (58)518
39.1%
Cyrillic
ValueCountFrequency (%)
и11
 
10.9%
о9
 
8.9%
р8
 
7.9%
н8
 
7.9%
е7
 
6.9%
а5
 
5.0%
я4
 
4.0%
к4
 
4.0%
в3
 
3.0%
С3
 
3.0%
Other values (23)39
38.6%
None
ValueCountFrequency (%)
«2
28.6%
»2
28.6%
ø2
28.6%
ü1
14.3%

season
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct12
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.032967
Minimum1
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size856.0 B
2022-09-04T23:46:54.084221image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33.5
95-th percentile2020
Maximum2020
Range2019
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation540.5081447
Coefficient of variation (CV)3.420223988
Kurtosis8.612391829
Mean158.032967
Median Absolute Deviation (MAD)0
Skewness3.228334879
Sum14381
Variance292149.0545
MonotonicityNot monotonic
2022-09-04T23:46:54.157228image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
159
64.8%
48
 
8.8%
20207
 
7.7%
26
 
6.6%
33
 
3.3%
52
 
2.2%
181
 
1.1%
301
 
1.1%
61
 
1.1%
71
 
1.1%
Other values (2)2
 
2.2%
ValueCountFrequency (%)
159
64.8%
26
 
6.6%
33
 
3.3%
48
 
8.8%
52
 
2.2%
61
 
1.1%
71
 
1.1%
181
 
1.1%
271
 
1.1%
301
 
1.1%
ValueCountFrequency (%)
20207
7.7%
311
 
1.1%
301
 
1.1%
271
 
1.1%
181
 
1.1%
71
 
1.1%
61
 
1.1%
52
 
2.2%
48
8.8%
33
 
3.3%

number
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct35
Distinct (%)38.9%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean28.12222222
Minimum1
Maximum355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size856.0 B
2022-09-04T23:46:54.243228image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.45
Q15
median10
Q318.75
95-th percentile81.7
Maximum355
Range354
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation63.3458188
Coefficient of variation (CV)2.25251825
Kurtosis17.30922759
Mean28.12222222
Median Absolute Deviation (MAD)6
Skewness4.167501214
Sum2531
Variance4012.692759
MonotonicityNot monotonic
2022-09-04T23:46:54.327415image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
27
 
7.7%
96
 
6.6%
55
 
5.5%
105
 
5.5%
85
 
5.5%
15
 
5.5%
34
 
4.4%
174
 
4.4%
44
 
4.4%
144
 
4.4%
Other values (25)41
45.1%
ValueCountFrequency (%)
15
5.5%
27
7.7%
34
4.4%
44
4.4%
55
5.5%
63
3.3%
73
3.3%
85
5.5%
96
6.6%
105
5.5%
ValueCountFrequency (%)
3551
 
1.1%
3181
 
1.1%
3171
 
1.1%
2361
 
1.1%
881
 
1.1%
741
 
1.1%
691
 
1.1%
581
 
1.1%
523
3.3%
441
 
1.1%

type
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size856.0 B
regular
90 
insignificant_special
 
1

Length

Max length21
Median length7
Mean length7.153846154
Min length7

Characters and Unicode

Total characters651
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular90
98.9%
insignificant_special1
 
1.1%

Length

2022-09-04T23:46:54.416506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:46:54.490586image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
regular90
98.9%
insignificant_special1
 
1.1%

Most occurring characters

ValueCountFrequency (%)
r180
27.6%
a92
14.1%
e91
14.0%
g91
14.0%
l91
14.0%
u90
13.8%
i5
 
0.8%
n3
 
0.5%
s2
 
0.3%
c2
 
0.3%
Other values (4)4
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter650
99.8%
Connector Punctuation1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r180
27.7%
a92
14.2%
e91
14.0%
g91
14.0%
l91
14.0%
u90
13.8%
i5
 
0.8%
n3
 
0.5%
s2
 
0.3%
c2
 
0.3%
Other values (3)3
 
0.5%
Connector Punctuation
ValueCountFrequency (%)
_1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin650
99.8%
Common1
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
r180
27.7%
a92
14.2%
e91
14.0%
g91
14.0%
l91
14.0%
u90
13.8%
i5
 
0.8%
n3
 
0.5%
s2
 
0.3%
c2
 
0.3%
Other values (3)3
 
0.5%
Common
ValueCountFrequency (%)
_1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII651
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r180
27.6%
a92
14.1%
e91
14.0%
g91
14.0%
l91
14.0%
u90
13.8%
i5
 
0.8%
n3
 
0.5%
s2
 
0.3%
c2
 
0.3%
Other values (4)4
 
0.6%

airdate
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size856.0 B
2020-12-28
91 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters910
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-28
2nd row2020-12-28
3rd row2020-12-28
4th row2020-12-28
5th row2020-12-28

Common Values

ValueCountFrequency (%)
2020-12-2891
100.0%

Length

2022-09-04T23:46:54.553592image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:46:54.620584image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-2891
100.0%

Most occurring characters

ValueCountFrequency (%)
2364
40.0%
0182
20.0%
-182
20.0%
191
 
10.0%
891
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number728
80.0%
Dash Punctuation182
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2364
50.0%
0182
25.0%
191
 
12.5%
891
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common910
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2364
40.0%
0182
20.0%
-182
20.0%
191
 
10.0%
891
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII910
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2364
40.0%
0182
20.0%
-182
20.0%
191
 
10.0%
891
 
10.0%

airtime
Categorical

HIGH CORRELATION

Distinct9
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size856.0 B
49 
20:00
21 
21:00
12 
12:00
 
3
10:00
 
2
Other values (4)
 
4

Length

Max length5
Median length0
Mean length2.307692308
Min length0

Characters and Unicode

Total characters210
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)4.4%

Sample

1st row10:00
2nd row12:00
3rd row
4th row
5th row10:00

Common Values

ValueCountFrequency (%)
49
53.8%
20:0021
23.1%
21:0012
 
13.2%
12:003
 
3.3%
10:002
 
2.2%
06:001
 
1.1%
17:001
 
1.1%
00:001
 
1.1%
19:001
 
1.1%

Length

2022-09-04T23:46:54.682574image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:46:54.764929image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
20:0021
50.0%
21:0012
28.6%
12:003
 
7.1%
10:002
 
4.8%
06:001
 
2.4%
17:001
 
2.4%
00:001
 
2.4%
19:001
 
2.4%

Most occurring characters

ValueCountFrequency (%)
0110
52.4%
:42
 
20.0%
236
 
17.1%
119
 
9.0%
61
 
0.5%
71
 
0.5%
91
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number168
80.0%
Other Punctuation42
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0110
65.5%
236
 
21.4%
119
 
11.3%
61
 
0.6%
71
 
0.6%
91
 
0.6%
Other Punctuation
ValueCountFrequency (%)
:42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common210
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0110
52.4%
:42
 
20.0%
236
 
17.1%
119
 
9.0%
61
 
0.5%
71
 
0.5%
91
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII210
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0110
52.4%
:42
 
20.0%
236
 
17.1%
119
 
9.0%
61
 
0.5%
71
 
0.5%
91
 
0.5%

airstamp
Categorical

HIGH CORRELATION

Distinct16
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size856.0 B
2020-12-28T12:00:00+00:00
52 
2020-12-28T21:00:00+00:00
10 
2020-12-28T04:00:00+00:00
2020-12-28T11:00:00+00:00
 
4
2020-12-28T17:00:00+00:00
 
4
Other values (11)
15 

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters2275
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)8.8%

Sample

1st row2020-12-27T22:00:00+00:00
2nd row2020-12-28T00:00:00+00:00
3rd row2020-12-28T00:00:00+00:00
4th row2020-12-28T00:00:00+00:00
5th row2020-12-28T02:00:00+00:00

Common Values

ValueCountFrequency (%)
2020-12-28T12:00:00+00:0052
57.1%
2020-12-28T21:00:00+00:0010
 
11.0%
2020-12-28T04:00:00+00:006
 
6.6%
2020-12-28T11:00:00+00:004
 
4.4%
2020-12-28T17:00:00+00:004
 
4.4%
2020-12-28T00:00:00+00:003
 
3.3%
2020-12-28T03:00:00+00:002
 
2.2%
2020-12-29T02:00:00+00:002
 
2.2%
2020-12-27T22:00:00+00:001
 
1.1%
2020-12-28T02:00:00+00:001
 
1.1%
Other values (6)6
 
6.6%

Length

2022-09-04T23:46:54.844929image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-28t12:00:00+00:0052
57.1%
2020-12-28t21:00:00+00:0010
 
11.0%
2020-12-28t04:00:00+00:006
 
6.6%
2020-12-28t11:00:00+00:004
 
4.4%
2020-12-28t17:00:00+00:004
 
4.4%
2020-12-28t00:00:00+00:003
 
3.3%
2020-12-28t03:00:00+00:002
 
2.2%
2020-12-29t02:00:00+00:002
 
2.2%
2020-12-27t22:00:00+00:001
 
1.1%
2020-12-28t02:00:00+00:001
 
1.1%
Other values (6)6
 
6.6%

Most occurring characters

ValueCountFrequency (%)
0930
40.9%
2431
18.9%
:273
 
12.0%
-182
 
8.0%
1169
 
7.4%
T91
 
4.0%
+91
 
4.0%
888
 
3.9%
46
 
0.3%
75
 
0.2%
Other values (4)9
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1638
72.0%
Other Punctuation273
 
12.0%
Dash Punctuation182
 
8.0%
Uppercase Letter91
 
4.0%
Math Symbol91
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0930
56.8%
2431
26.3%
1169
 
10.3%
888
 
5.4%
46
 
0.4%
75
 
0.3%
94
 
0.2%
32
 
0.1%
52
 
0.1%
61
 
0.1%
Other Punctuation
ValueCountFrequency (%)
:273
100.0%
Dash Punctuation
ValueCountFrequency (%)
-182
100.0%
Uppercase Letter
ValueCountFrequency (%)
T91
100.0%
Math Symbol
ValueCountFrequency (%)
+91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common2184
96.0%
Latin91
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0930
42.6%
2431
19.7%
:273
 
12.5%
-182
 
8.3%
1169
 
7.7%
+91
 
4.2%
888
 
4.0%
46
 
0.3%
75
 
0.2%
94
 
0.2%
Other values (3)5
 
0.2%
Latin
ValueCountFrequency (%)
T91
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2275
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0930
40.9%
2431
18.9%
:273
 
12.0%
-182
 
8.0%
1169
 
7.4%
T91
 
4.0%
+91
 
4.0%
888
 
3.9%
46
 
0.3%
75
 
0.2%
Other values (4)9
 
0.4%

runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct32
Distinct (%)36.4%
Missing3
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean40.84090909
Minimum2
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size856.0 B
2022-09-04T23:46:54.917288image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5.7
Q120
median45
Q351
95-th percentile79.5
Maximum180
Range178
Interquartile range (IQR)31

Descriptive statistics

Standard deviation28.77334589
Coefficient of variation (CV)0.7045226595
Kurtosis6.702297805
Mean40.84090909
Median Absolute Deviation (MAD)15
Skewness1.951014011
Sum3594
Variance827.9054336
MonotonicityNot monotonic
2022-09-04T23:46:55.014730image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
4520
22.0%
6016
17.6%
404
 
4.4%
104
 
4.4%
274
 
4.4%
203
 
3.3%
53
 
3.3%
303
 
3.3%
163
 
3.3%
82
 
2.2%
Other values (22)26
28.6%
(Missing)3
 
3.3%
ValueCountFrequency (%)
21
 
1.1%
41
 
1.1%
53
3.3%
71
 
1.1%
82
2.2%
104
4.4%
122
2.2%
151
 
1.1%
163
3.3%
172
2.2%
ValueCountFrequency (%)
1801
 
1.1%
1301
 
1.1%
1202
 
2.2%
901
 
1.1%
6016
17.6%
512
 
2.2%
501
 
1.1%
481
 
1.1%
461
 
1.1%
4520
22.0%

summary
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct17
Distinct (%)100.0%
Missing74
Missing (%)81.3%
Memory size856.0 B
<p>Locked in the deadliest fight of their lives, does Shatter Squad have what it takes to save the fate of the World? </p>
 
1
<p>As summer comes to the sun-soaked island of Jersey, the Hartmanns celebrate with...a chalet ski party! Kate focuses her attention on building bridges with Finn.</p>
 
1
<p>The fallout from Tessa and Mia's latest argument leads to a summit to clear the air, whil Ashley's relationship with Jane takes an unexpected twist.</p>
 
1
<p>Kate's ambition of starting a charity gets off to a rocky start, while Mia's dreams of returning to modelling become a reality. Plus, Tessa celebrates her birthday.</p>
 
1
<p>Mia questions her relationships with some of the women following the disastrous dinner party, while Kate and Margaret regret not being more outspoken.</p>
 
1
Other values (12)
12 

Length

Max length599
Median length167
Mean length200.4705882
Min length82

Characters and Unicode

Total characters3408
Distinct characters54
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st row<p>Locked in the deadliest fight of their lives, does Shatter Squad have what it takes to save the fate of the World? </p>
2nd row<p>Rachael Ray includes fresh cherry tomatoes in her linguine with clam sauce.</p>
3rd row<p>The mystery of Jane's death continues as Bun and Tan uncovered new information that led them to believe that someone powerful was behind the incident and that Pued is keeping a deep secret about Jane that nobody knows.</p>
4th row<p>Win arranges for Jaime to participate in his vlog through a date with Heart to heal her broken heart.  Jaime surprises Win when he requests a special compensation for his participation.  </p>
5th row<p>A calm, bespectacled suspect reenacts the massacre and says an odd entity made him do it. But his lawyer has a theory about a real motive.</p>

Common Values

ValueCountFrequency (%)
<p>Locked in the deadliest fight of their lives, does Shatter Squad have what it takes to save the fate of the World? </p>1
 
1.1%
<p>As summer comes to the sun-soaked island of Jersey, the Hartmanns celebrate with...a chalet ski party! Kate focuses her attention on building bridges with Finn.</p>1
 
1.1%
<p>The fallout from Tessa and Mia's latest argument leads to a summit to clear the air, whil Ashley's relationship with Jane takes an unexpected twist.</p>1
 
1.1%
<p>Kate's ambition of starting a charity gets off to a rocky start, while Mia's dreams of returning to modelling become a reality. Plus, Tessa celebrates her birthday.</p>1
 
1.1%
<p>Mia questions her relationships with some of the women following the disastrous dinner party, while Kate and Margaret regret not being more outspoken.</p>1
 
1.1%
<p>With the Staycation in full flow, the Housewives bond over a game of Truth or Dare, and Margaret's pulse is left racing by a surprise guest.</p>1
 
1.1%
<p>Tessa has high hopes for the housewives' staycation, but will everyone behave themselves?</p>1
 
1.1%
<p>Margaret hosts Coco Chanel Thompson's fourth birthday party, and the long-awaited meet-up between Kate and Tessa leaves their relationship in a sticky situation.</p>1
 
1.1%
<p>Mia gets the opportunity of a lifetime when she throws an extravagant dinner party.</p>1
 
1.1%
<p>Whilst Kate celebrates her birthday, a text from a special someone brings a smile to her face even if confusion surrounds her long-awaited introduction to Tessa. Could first impressions be the wrong impressions or is Tessa ready to give Kate a second chance?</p><p>Mia's hopes for a return to modelling are boosted when Hedi offers some unexpected advice whilst Ashley reaches out to Margaret and discovers a sympathetic friend.</p><p>Meanwhile Jersey's social butterflies flutter towards the local lido for a night of fun and frolics but some ladies reveal a touch too much… don't they Jane?</p>1
 
1.1%
Other values (7)7
 
7.7%
(Missing)74
81.3%

Length

2022-09-04T23:46:55.112731image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
a25
 
4.6%
the24
 
4.4%
to18
 
3.3%
of15
 
2.7%
and14
 
2.6%
her12
 
2.2%
for7
 
1.3%
in7
 
1.3%
kate6
 
1.1%
on6
 
1.1%
Other values (329)415
75.6%

Most occurring characters

ValueCountFrequency (%)
531
15.6%
e344
 
10.1%
a238
 
7.0%
t227
 
6.7%
s203
 
6.0%
o188
 
5.5%
i174
 
5.1%
r172
 
5.0%
n169
 
5.0%
h132
 
3.9%
Other values (44)1030
30.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2607
76.5%
Space Separator534
 
15.7%
Uppercase Letter94
 
2.8%
Other Punctuation91
 
2.7%
Math Symbol76
 
2.2%
Dash Punctuation6
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e344
13.2%
a238
 
9.1%
t227
 
8.7%
s203
 
7.8%
o188
 
7.2%
i174
 
6.7%
r172
 
6.6%
n169
 
6.5%
h132
 
5.1%
l99
 
3.8%
Other values (15)661
25.4%
Uppercase Letter
ValueCountFrequency (%)
T14
14.9%
J13
13.8%
M13
13.8%
K7
7.4%
W6
 
6.4%
A6
 
6.4%
C5
 
5.3%
H5
 
5.3%
R5
 
5.3%
S4
 
4.3%
Other values (6)16
17.0%
Other Punctuation
ValueCountFrequency (%)
.26
28.6%
,21
23.1%
/19
20.9%
'15
16.5%
?4
 
4.4%
;3
 
3.3%
!2
 
2.2%
1
 
1.1%
Space Separator
ValueCountFrequency (%)
531
99.4%
 3
 
0.6%
Math Symbol
ValueCountFrequency (%)
>38
50.0%
<38
50.0%
Dash Punctuation
ValueCountFrequency (%)
-6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2701
79.3%
Common707
 
20.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e344
12.7%
a238
 
8.8%
t227
 
8.4%
s203
 
7.5%
o188
 
7.0%
i174
 
6.4%
r172
 
6.4%
n169
 
6.3%
h132
 
4.9%
l99
 
3.7%
Other values (31)755
28.0%
Common
ValueCountFrequency (%)
531
75.1%
>38
 
5.4%
<38
 
5.4%
.26
 
3.7%
,21
 
3.0%
/19
 
2.7%
'15
 
2.1%
-6
 
0.8%
?4
 
0.6%
 3
 
0.4%
Other values (3)6
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII3404
99.9%
None3
 
0.1%
Punctuation1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
531
15.6%
e344
 
10.1%
a238
 
7.0%
t227
 
6.7%
s203
 
6.0%
o188
 
5.5%
i174
 
5.1%
r172
 
5.1%
n169
 
5.0%
h132
 
3.9%
Other values (42)1026
30.1%
None
ValueCountFrequency (%)
 3
100.0%
Punctuation
ValueCountFrequency (%)
1
100.0%

rating.average
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct4
Distinct (%)100.0%
Missing87
Missing (%)95.6%
Memory size856.0 B
10.0
8.0
6.5
8.5

Length

Max length4
Median length3
Mean length3.25
Min length3

Characters and Unicode

Total characters13
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row10.0
2nd row8.0
3rd row6.5
4th row8.5

Common Values

ValueCountFrequency (%)
10.01
 
1.1%
8.01
 
1.1%
6.51
 
1.1%
8.51
 
1.1%
(Missing)87
95.6%

Length

2022-09-04T23:46:55.191798image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:46:55.268803image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
10.01
25.0%
8.01
25.0%
6.51
25.0%
8.51
25.0%

Most occurring characters

ValueCountFrequency (%)
.4
30.8%
03
23.1%
82
15.4%
52
15.4%
11
 
7.7%
61
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number9
69.2%
Other Punctuation4
30.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
03
33.3%
82
22.2%
52
22.2%
11
 
11.1%
61
 
11.1%
Other Punctuation
ValueCountFrequency (%)
.4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common13
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
.4
30.8%
03
23.1%
82
15.4%
52
15.4%
11
 
7.7%
61
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII13
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
.4
30.8%
03
23.1%
82
15.4%
52
15.4%
11
 
7.7%
61
 
7.7%

image.medium
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct13
Distinct (%)100.0%
Missing78
Missing (%)85.7%
Memory size856.0 B
https://static.tvmaze.com/uploads/images/medium_landscape/291/728564.jpg
https://static.tvmaze.com/uploads/images/medium_landscape/293/734755.jpg
https://static.tvmaze.com/uploads/images/medium_landscape/291/727604.jpg
https://static.tvmaze.com/uploads/images/medium_landscape/291/727719.jpg
https://static.tvmaze.com/uploads/images/medium_landscape/293/733760.jpg
Other values (8)

Length

Max length73
Median length72
Mean length72.07692308
Min length72

Characters and Unicode

Total characters937
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_landscape/291/728564.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/293/734755.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/291/727604.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/291/727719.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/293/733760.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/291/728564.jpg1
 
1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/293/734755.jpg1
 
1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/291/727604.jpg1
 
1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/291/727719.jpg1
 
1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/293/733760.jpg1
 
1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/293/733761.jpg1
 
1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/293/733762.jpg1
 
1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/293/733763.jpg1
 
1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/417/1044222.jpg1
 
1.1%
https://static.tvmaze.com/uploads/images/medium_landscape/291/727586.jpg1
 
1.1%
Other values (3)3
 
3.3%
(Missing)78
85.7%

Length

2022-09-04T23:46:55.345078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/291/728564.jpg1
 
7.7%
https://static.tvmaze.com/uploads/images/medium_landscape/293/734755.jpg1
 
7.7%
https://static.tvmaze.com/uploads/images/medium_landscape/291/727604.jpg1
 
7.7%
https://static.tvmaze.com/uploads/images/medium_landscape/291/727719.jpg1
 
7.7%
https://static.tvmaze.com/uploads/images/medium_landscape/293/733760.jpg1
 
7.7%
https://static.tvmaze.com/uploads/images/medium_landscape/293/733761.jpg1
 
7.7%
https://static.tvmaze.com/uploads/images/medium_landscape/293/733762.jpg1
 
7.7%
https://static.tvmaze.com/uploads/images/medium_landscape/293/733763.jpg1
 
7.7%
https://static.tvmaze.com/uploads/images/medium_landscape/417/1044222.jpg1
 
7.7%
https://static.tvmaze.com/uploads/images/medium_landscape/291/727586.jpg1
 
7.7%
Other values (3)3
23.1%

Most occurring characters

ValueCountFrequency (%)
/91
 
9.7%
a78
 
8.3%
t65
 
6.9%
s65
 
6.9%
m65
 
6.9%
p52
 
5.5%
e52
 
5.5%
i39
 
4.2%
c39
 
4.2%
.39
 
4.2%
Other values (22)352
37.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter663
70.8%
Other Punctuation143
 
15.3%
Decimal Number118
 
12.6%
Connector Punctuation13
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a78
11.8%
t65
9.8%
s65
9.8%
m65
9.8%
p52
 
7.8%
e52
 
7.8%
i39
 
5.9%
c39
 
5.9%
d39
 
5.9%
l26
 
3.9%
Other values (8)143
21.6%
Decimal Number
ValueCountFrequency (%)
724
20.3%
219
16.1%
318
15.3%
911
9.3%
111
9.3%
610
8.5%
58
 
6.8%
48
 
6.8%
05
 
4.2%
84
 
3.4%
Other Punctuation
ValueCountFrequency (%)
/91
63.6%
.39
27.3%
:13
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin663
70.8%
Common274
29.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a78
11.8%
t65
9.8%
s65
9.8%
m65
9.8%
p52
 
7.8%
e52
 
7.8%
i39
 
5.9%
c39
 
5.9%
d39
 
5.9%
l26
 
3.9%
Other values (8)143
21.6%
Common
ValueCountFrequency (%)
/91
33.2%
.39
14.2%
724
 
8.8%
219
 
6.9%
318
 
6.6%
_13
 
4.7%
:13
 
4.7%
911
 
4.0%
111
 
4.0%
610
 
3.6%
Other values (4)25
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII937
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/91
 
9.7%
a78
 
8.3%
t65
 
6.9%
s65
 
6.9%
m65
 
6.9%
p52
 
5.5%
e52
 
5.5%
i39
 
4.2%
c39
 
4.2%
.39
 
4.2%
Other values (22)352
37.6%

image.original
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct13
Distinct (%)100.0%
Missing78
Missing (%)85.7%
Memory size856.0 B
https://static.tvmaze.com/uploads/images/original_untouched/291/728564.jpg
https://static.tvmaze.com/uploads/images/original_untouched/293/734755.jpg
https://static.tvmaze.com/uploads/images/original_untouched/291/727604.jpg
https://static.tvmaze.com/uploads/images/original_untouched/291/727719.jpg
https://static.tvmaze.com/uploads/images/original_untouched/293/733760.jpg
Other values (8)

Length

Max length75
Median length74
Mean length74.07692308
Min length74

Characters and Unicode

Total characters963
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/291/728564.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/293/734755.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/291/727604.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/291/727719.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/293/733760.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/291/728564.jpg1
 
1.1%
https://static.tvmaze.com/uploads/images/original_untouched/293/734755.jpg1
 
1.1%
https://static.tvmaze.com/uploads/images/original_untouched/291/727604.jpg1
 
1.1%
https://static.tvmaze.com/uploads/images/original_untouched/291/727719.jpg1
 
1.1%
https://static.tvmaze.com/uploads/images/original_untouched/293/733760.jpg1
 
1.1%
https://static.tvmaze.com/uploads/images/original_untouched/293/733761.jpg1
 
1.1%
https://static.tvmaze.com/uploads/images/original_untouched/293/733762.jpg1
 
1.1%
https://static.tvmaze.com/uploads/images/original_untouched/293/733763.jpg1
 
1.1%
https://static.tvmaze.com/uploads/images/original_untouched/417/1044222.jpg1
 
1.1%
https://static.tvmaze.com/uploads/images/original_untouched/291/727586.jpg1
 
1.1%
Other values (3)3
 
3.3%
(Missing)78
85.7%

Length

2022-09-04T23:46:55.428646image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/291/728564.jpg1
 
7.7%
https://static.tvmaze.com/uploads/images/original_untouched/293/734755.jpg1
 
7.7%
https://static.tvmaze.com/uploads/images/original_untouched/291/727604.jpg1
 
7.7%
https://static.tvmaze.com/uploads/images/original_untouched/291/727719.jpg1
 
7.7%
https://static.tvmaze.com/uploads/images/original_untouched/293/733760.jpg1
 
7.7%
https://static.tvmaze.com/uploads/images/original_untouched/293/733761.jpg1
 
7.7%
https://static.tvmaze.com/uploads/images/original_untouched/293/733762.jpg1
 
7.7%
https://static.tvmaze.com/uploads/images/original_untouched/293/733763.jpg1
 
7.7%
https://static.tvmaze.com/uploads/images/original_untouched/417/1044222.jpg1
 
7.7%
https://static.tvmaze.com/uploads/images/original_untouched/291/727586.jpg1
 
7.7%
Other values (3)3
23.1%

Most occurring characters

ValueCountFrequency (%)
/91
 
9.4%
t78
 
8.1%
a65
 
6.7%
s52
 
5.4%
i52
 
5.4%
o52
 
5.4%
p39
 
4.0%
c39
 
4.0%
.39
 
4.0%
g39
 
4.0%
Other values (23)417
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter689
71.5%
Other Punctuation143
 
14.8%
Decimal Number118
 
12.3%
Connector Punctuation13
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t78
 
11.3%
a65
 
9.4%
s52
 
7.5%
i52
 
7.5%
o52
 
7.5%
p39
 
5.7%
c39
 
5.7%
g39
 
5.7%
m39
 
5.7%
e39
 
5.7%
Other values (9)195
28.3%
Decimal Number
ValueCountFrequency (%)
724
20.3%
219
16.1%
318
15.3%
911
9.3%
111
9.3%
610
8.5%
58
 
6.8%
48
 
6.8%
05
 
4.2%
84
 
3.4%
Other Punctuation
ValueCountFrequency (%)
/91
63.6%
.39
27.3%
:13
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin689
71.5%
Common274
 
28.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t78
 
11.3%
a65
 
9.4%
s52
 
7.5%
i52
 
7.5%
o52
 
7.5%
p39
 
5.7%
c39
 
5.7%
g39
 
5.7%
m39
 
5.7%
e39
 
5.7%
Other values (9)195
28.3%
Common
ValueCountFrequency (%)
/91
33.2%
.39
14.2%
724
 
8.8%
219
 
6.9%
318
 
6.6%
:13
 
4.7%
_13
 
4.7%
911
 
4.0%
111
 
4.0%
610
 
3.6%
Other values (4)25
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII963
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/91
 
9.4%
t78
 
8.1%
a65
 
6.7%
s52
 
5.4%
i52
 
5.4%
o52
 
5.4%
p39
 
4.0%
c39
 
4.0%
.39
 
4.0%
g39
 
4.0%
Other values (23)417
43.3%

_links.self.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size856.0 B
https://api.tvmaze.com/episodes/1977901
 
1
https://api.tvmaze.com/episodes/2289877
 
1
https://api.tvmaze.com/episodes/2211138
 
1
https://api.tvmaze.com/episodes/2204452
 
1
https://api.tvmaze.com/episodes/2197599
 
1
Other values (86)
86 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters3549
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/1977901
2nd rowhttps://api.tvmaze.com/episodes/2164196
3rd rowhttps://api.tvmaze.com/episodes/1982411
4th rowhttps://api.tvmaze.com/episodes/1982412
5th rowhttps://api.tvmaze.com/episodes/2062930

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19779011
 
1.1%
https://api.tvmaze.com/episodes/22898771
 
1.1%
https://api.tvmaze.com/episodes/22111381
 
1.1%
https://api.tvmaze.com/episodes/22044521
 
1.1%
https://api.tvmaze.com/episodes/21975991
 
1.1%
https://api.tvmaze.com/episodes/21972921
 
1.1%
https://api.tvmaze.com/episodes/20722291
 
1.1%
https://api.tvmaze.com/episodes/20343611
 
1.1%
https://api.tvmaze.com/episodes/20325161
 
1.1%
https://api.tvmaze.com/episodes/20076861
 
1.1%
Other values (81)81
89.0%

Length

2022-09-04T23:46:55.644753image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19779011
 
1.1%
https://api.tvmaze.com/episodes/19978101
 
1.1%
https://api.tvmaze.com/episodes/19824111
 
1.1%
https://api.tvmaze.com/episodes/19824121
 
1.1%
https://api.tvmaze.com/episodes/20629301
 
1.1%
https://api.tvmaze.com/episodes/21403891
 
1.1%
https://api.tvmaze.com/episodes/23539191
 
1.1%
https://api.tvmaze.com/episodes/23244211
 
1.1%
https://api.tvmaze.com/episodes/23244221
 
1.1%
https://api.tvmaze.com/episodes/19985981
 
1.1%
Other values (81)81
89.0%

Most occurring characters

ValueCountFrequency (%)
/364
 
10.3%
p273
 
7.7%
s273
 
7.7%
e273
 
7.7%
t273
 
7.7%
o182
 
5.1%
a182
 
5.1%
i182
 
5.1%
.182
 
5.1%
m182
 
5.1%
Other values (16)1183
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2275
64.1%
Other Punctuation637
 
17.9%
Decimal Number637
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p273
12.0%
s273
12.0%
e273
12.0%
t273
12.0%
o182
8.0%
a182
8.0%
i182
8.0%
m182
8.0%
h91
 
4.0%
d91
 
4.0%
Other values (3)273
12.0%
Decimal Number
ValueCountFrequency (%)
9128
20.1%
1103
16.2%
274
11.6%
559
9.3%
855
8.6%
449
 
7.7%
748
 
7.5%
346
 
7.2%
041
 
6.4%
634
 
5.3%
Other Punctuation
ValueCountFrequency (%)
/364
57.1%
.182
28.6%
:91
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin2275
64.1%
Common1274
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/364
28.6%
.182
14.3%
9128
 
10.0%
1103
 
8.1%
:91
 
7.1%
274
 
5.8%
559
 
4.6%
855
 
4.3%
449
 
3.8%
748
 
3.8%
Other values (3)121
 
9.5%
Latin
ValueCountFrequency (%)
p273
12.0%
s273
12.0%
e273
12.0%
t273
12.0%
o182
8.0%
a182
8.0%
i182
8.0%
m182
8.0%
h91
 
4.0%
d91
 
4.0%
Other values (3)273
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3549
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/364
 
10.3%
p273
 
7.7%
s273
 
7.7%
e273
 
7.7%
t273
 
7.7%
o182
 
5.1%
a182
 
5.1%
i182
 
5.1%
.182
 
5.1%
m182
 
5.1%
Other values (16)1183
33.3%

_embedded.show.id
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct56
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47788.25275
Minimum802
Maximum63310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size856.0 B
2022-09-04T23:46:55.720752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum802
5-th percentile10698.5
Q149784
median52524
Q352841
95-th percentile59188
Maximum63310
Range62508
Interquartile range (IQR)3057

Descriptive statistics

Standard deviation13467.58392
Coefficient of variation (CV)0.2818178767
Kurtosis4.588142675
Mean47788.25275
Median Absolute Deviation (MAD)2675
Skewness-2.259885636
Sum4348731
Variance181375816.6
MonotonicityNot monotonic
2022-09-04T23:46:55.808000image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4978410
 
11.0%
526858
 
8.8%
524795
 
5.5%
526554
 
4.4%
525644
 
4.4%
529362
 
2.2%
152502
 
2.2%
521812
 
2.2%
527812
 
2.2%
414902
 
2.2%
Other values (46)50
54.9%
ValueCountFrequency (%)
8021
1.1%
25041
1.1%
60901
1.1%
61461
1.1%
61471
1.1%
152502
2.2%
224731
1.1%
306061
1.1%
324171
1.1%
339441
1.1%
ValueCountFrequency (%)
633101
1.1%
627641
1.1%
617551
1.1%
608091
1.1%
595551
1.1%
588211
1.1%
586451
1.1%
584261
1.1%
583671
1.1%
570292
2.2%

_embedded.show.url
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct56
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Memory size856.0 B
https://www.tvmaze.com/shows/49784/the-real-housewives-of-jersey
10 
https://www.tvmaze.com/shows/52685/the-controllers
https://www.tvmaze.com/shows/52479/beauty-and-the-boss
 
5
https://www.tvmaze.com/shows/52655/the-case-solver
 
4
https://www.tvmaze.com/shows/52564/nikkietutorials-layers-of-me
 
4
Other values (51)
60 

Length

Max length67
Median length61
Mean length52.03296703
Min length39

Characters and Unicode

Total characters4735
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)46.2%

Sample

1st rowhttps://www.tvmaze.com/shows/39115/obycnaa-zensina
2nd rowhttps://www.tvmaze.com/shows/48683/ispoved
3rd rowhttps://www.tvmaze.com/shows/52181/volk
4th rowhttps://www.tvmaze.com/shows/52181/volk
5th rowhttps://www.tvmaze.com/shows/54541/god-of-ten-thousand-realms

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/shows/49784/the-real-housewives-of-jersey10
 
11.0%
https://www.tvmaze.com/shows/52685/the-controllers8
 
8.8%
https://www.tvmaze.com/shows/52479/beauty-and-the-boss5
 
5.5%
https://www.tvmaze.com/shows/52655/the-case-solver4
 
4.4%
https://www.tvmaze.com/shows/52564/nikkietutorials-layers-of-me4
 
4.4%
https://www.tvmaze.com/shows/52936/my-best-friends-story2
 
2.2%
https://www.tvmaze.com/shows/15250/the-young-turks2
 
2.2%
https://www.tvmaze.com/shows/52181/volk2
 
2.2%
https://www.tvmaze.com/shows/52781/love-script2
 
2.2%
https://www.tvmaze.com/shows/41490/unique-lady2
 
2.2%
Other values (46)50
54.9%

Length

2022-09-04T23:46:55.896999image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/shows/49784/the-real-housewives-of-jersey10
 
11.0%
https://www.tvmaze.com/shows/52685/the-controllers8
 
8.8%
https://www.tvmaze.com/shows/52479/beauty-and-the-boss5
 
5.5%
https://www.tvmaze.com/shows/52655/the-case-solver4
 
4.4%
https://www.tvmaze.com/shows/52564/nikkietutorials-layers-of-me4
 
4.4%
https://www.tvmaze.com/shows/41490/unique-lady2
 
2.2%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love2
 
2.2%
https://www.tvmaze.com/shows/57029/bablo2
 
2.2%
https://www.tvmaze.com/shows/52784/unique-lady-22
 
2.2%
https://www.tvmaze.com/shows/52524/forever-love2
 
2.2%
Other values (46)50
54.9%

Most occurring characters

ValueCountFrequency (%)
/455
 
9.6%
w386
 
8.2%
t385
 
8.1%
s385
 
8.1%
e294
 
6.2%
o290
 
6.1%
h241
 
5.1%
m203
 
4.3%
-185
 
3.9%
a183
 
3.9%
Other values (30)1728
36.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3360
71.0%
Other Punctuation728
 
15.4%
Decimal Number462
 
9.8%
Dash Punctuation185
 
3.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w386
11.5%
t385
11.5%
s385
11.5%
e294
 
8.8%
o290
 
8.6%
h241
 
7.2%
m203
 
6.0%
a183
 
5.4%
v124
 
3.7%
c118
 
3.5%
Other values (16)751
22.4%
Decimal Number
ValueCountFrequency (%)
598
21.2%
466
14.3%
262
13.4%
645
9.7%
841
8.9%
935
 
7.6%
733
 
7.1%
133
 
7.1%
029
 
6.3%
320
 
4.3%
Other Punctuation
ValueCountFrequency (%)
/455
62.5%
.182
 
25.0%
:91
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-185
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3360
71.0%
Common1375
29.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
w386
11.5%
t385
11.5%
s385
11.5%
e294
 
8.8%
o290
 
8.6%
h241
 
7.2%
m203
 
6.0%
a183
 
5.4%
v124
 
3.7%
c118
 
3.5%
Other values (16)751
22.4%
Common
ValueCountFrequency (%)
/455
33.1%
-185
13.5%
.182
 
13.2%
598
 
7.1%
:91
 
6.6%
466
 
4.8%
262
 
4.5%
645
 
3.3%
841
 
3.0%
935
 
2.5%
Other values (4)115
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII4735
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/455
 
9.6%
w386
 
8.2%
t385
 
8.1%
s385
 
8.1%
e294
 
6.2%
o290
 
6.1%
h241
 
5.1%
m203
 
4.3%
-185
 
3.9%
a183
 
3.9%
Other values (30)1728
36.5%

_embedded.show.name
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct56
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Memory size856.0 B
The Real Housewives of Jersey
10 
The Controllers
Beauty and the Boss
 
5
The Case Solver
 
4
NikkieTutorials: Layers of Me
 
4
Other values (51)
60 

Length

Max length33
Median length28
Mean length17.27472527
Min length4

Characters and Unicode

Total characters1572
Distinct characters88
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)46.2%

Sample

1st rowОбычная женщина
2nd rowИсповедь
3rd rowВолк
4th rowВолк
5th rowGod of Ten Thousand Realms

Common Values

ValueCountFrequency (%)
The Real Housewives of Jersey10
 
11.0%
The Controllers8
 
8.8%
Beauty and the Boss5
 
5.5%
The Case Solver4
 
4.4%
NikkieTutorials: Layers of Me4
 
4.4%
My Best Friend's Story2
 
2.2%
The Young Turks2
 
2.2%
Волк2
 
2.2%
Love Script2
 
2.2%
Unique Lady2
 
2.2%
Other values (46)50
54.9%

Length

2022-09-04T23:46:55.987116image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the34
 
12.4%
of23
 
8.4%
real10
 
3.6%
housewives10
 
3.6%
jersey10
 
3.6%
controllers8
 
2.9%
love7
 
2.5%
and6
 
2.2%
beauty5
 
1.8%
boss5
 
1.8%
Other values (115)157
57.1%

Most occurring characters

ValueCountFrequency (%)
e196
 
12.5%
184
 
11.7%
o102
 
6.5%
s92
 
5.9%
a74
 
4.7%
r69
 
4.4%
i67
 
4.3%
t61
 
3.9%
n56
 
3.6%
l55
 
3.5%
Other values (78)616
39.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1108
70.5%
Uppercase Letter252
 
16.0%
Space Separator184
 
11.7%
Other Punctuation14
 
0.9%
Decimal Number13
 
0.8%
Dash Punctuation1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e196
17.7%
o102
 
9.2%
s92
 
8.3%
a74
 
6.7%
r69
 
6.2%
i67
 
6.0%
t61
 
5.5%
n56
 
5.1%
l55
 
5.0%
h48
 
4.3%
Other values (37)288
26.0%
Uppercase Letter
ValueCountFrequency (%)
T49
19.4%
B21
 
8.3%
R19
 
7.5%
L18
 
7.1%
S17
 
6.7%
C16
 
6.3%
M13
 
5.2%
J12
 
4.8%
A12
 
4.8%
H11
 
4.4%
Other values (20)64
25.4%
Other Punctuation
ValueCountFrequency (%)
'5
35.7%
:4
28.6%
.3
21.4%
,1
 
7.1%
!1
 
7.1%
Decimal Number
ValueCountFrequency (%)
06
46.2%
24
30.8%
32
 
15.4%
11
 
7.7%
Space Separator
ValueCountFrequency (%)
184
100.0%
Dash Punctuation
ValueCountFrequency (%)
-1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1303
82.9%
Common212
 
13.5%
Cyrillic57
 
3.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e196
15.0%
o102
 
7.8%
s92
 
7.1%
a74
 
5.7%
r69
 
5.3%
i67
 
5.1%
t61
 
4.7%
n56
 
4.3%
l55
 
4.2%
T49
 
3.8%
Other values (40)482
37.0%
Cyrillic
ValueCountFrequency (%)
н7
 
12.3%
а5
 
8.8%
е4
 
7.0%
к4
 
7.0%
о4
 
7.0%
В3
 
5.3%
ь2
 
3.5%
п2
 
3.5%
с2
 
3.5%
у2
 
3.5%
Other values (17)22
38.6%
Common
ValueCountFrequency (%)
184
86.8%
06
 
2.8%
'5
 
2.4%
:4
 
1.9%
24
 
1.9%
.3
 
1.4%
32
 
0.9%
11
 
0.5%
-1
 
0.5%
,1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1514
96.3%
Cyrillic57
 
3.6%
None1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e196
 
12.9%
184
 
12.2%
o102
 
6.7%
s92
 
6.1%
a74
 
4.9%
r69
 
4.6%
i67
 
4.4%
t61
 
4.0%
n56
 
3.7%
l55
 
3.6%
Other values (50)558
36.9%
Cyrillic
ValueCountFrequency (%)
н7
 
12.3%
а5
 
8.8%
е4
 
7.0%
к4
 
7.0%
о4
 
7.0%
В3
 
5.3%
ь2
 
3.5%
п2
 
3.5%
с2
 
3.5%
у2
 
3.5%
Other values (17)22
38.6%
None
ValueCountFrequency (%)
Ç1
100.0%

_embedded.show.type
Categorical

HIGH CORRELATION

Distinct8
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size856.0 B
Scripted
51 
Reality
16 
Documentary
Animation
Talk Show
 
3
Other values (3)

Length

Max length11
Median length8
Mean length8.065934066
Min length4

Characters and Unicode

Total characters734
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowScripted
2nd rowDocumentary
3rd rowScripted
4th rowScripted
5th rowAnimation

Common Values

ValueCountFrequency (%)
Scripted51
56.0%
Reality16
 
17.6%
Documentary9
 
9.9%
Animation6
 
6.6%
Talk Show3
 
3.3%
Variety2
 
2.2%
News2
 
2.2%
Sports2
 
2.2%

Length

2022-09-04T23:46:56.079815image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:46:56.172815image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
scripted51
54.3%
reality16
 
17.0%
documentary9
 
9.6%
animation6
 
6.4%
talk3
 
3.2%
show3
 
3.2%
variety2
 
2.1%
news2
 
2.1%
sports2
 
2.1%

Most occurring characters

ValueCountFrequency (%)
t86
11.7%
i81
11.0%
e80
10.9%
r64
8.7%
c60
8.2%
S56
 
7.6%
p53
 
7.2%
d51
 
6.9%
a36
 
4.9%
y27
 
3.7%
Other values (16)140
19.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter637
86.8%
Uppercase Letter94
 
12.8%
Space Separator3
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t86
13.5%
i81
12.7%
e80
12.6%
r64
10.0%
c60
9.4%
p53
8.3%
d51
8.0%
a36
5.7%
y27
 
4.2%
n21
 
3.3%
Other values (8)78
12.2%
Uppercase Letter
ValueCountFrequency (%)
S56
59.6%
R16
 
17.0%
D9
 
9.6%
A6
 
6.4%
T3
 
3.2%
V2
 
2.1%
N2
 
2.1%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin731
99.6%
Common3
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t86
11.8%
i81
11.1%
e80
10.9%
r64
8.8%
c60
8.2%
S56
7.7%
p53
 
7.3%
d51
 
7.0%
a36
 
4.9%
y27
 
3.7%
Other values (15)137
18.7%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII734
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t86
11.7%
i81
11.0%
e80
10.9%
r64
8.7%
c60
8.2%
S56
 
7.6%
p53
 
7.2%
d51
 
6.9%
a36
 
4.9%
y27
 
3.7%
Other values (16)140
19.1%

_embedded.show.language
Categorical

HIGH CORRELATION
MISSING

Distinct14
Distinct (%)15.7%
Missing2
Missing (%)2.2%
Memory size856.0 B
Chinese
32 
English
29 
Russian
Korean
Norwegian
Other values (9)
10 

Length

Max length10
Median length7
Mean length7
Min length4

Characters and Unicode

Total characters623
Distinct characters29
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)9.0%

Sample

1st rowRussian
2nd rowRussian
3rd rowRussian
4th rowRussian
5th rowChinese

Common Values

ValueCountFrequency (%)
Chinese32
35.2%
English29
31.9%
Russian8
 
8.8%
Korean5
 
5.5%
Norwegian5
 
5.5%
Arabic2
 
2.2%
Swedish1
 
1.1%
Thai1
 
1.1%
Tagalog1
 
1.1%
Hebrew1
 
1.1%
Other values (4)4
 
4.4%
(Missing)2
 
2.2%

Length

2022-09-04T23:46:56.265220image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
chinese32
36.0%
english29
32.6%
russian8
 
9.0%
korean5
 
5.6%
norwegian5
 
5.6%
arabic2
 
2.2%
swedish1
 
1.1%
thai1
 
1.1%
tagalog1
 
1.1%
hebrew1
 
1.1%
Other values (4)4
 
4.5%

Most occurring characters

ValueCountFrequency (%)
i82
13.2%
n82
13.2%
s79
12.7%
e77
12.4%
h66
10.6%
g36
5.8%
C32
 
5.1%
l30
 
4.8%
E29
 
4.7%
a27
 
4.3%
Other values (19)83
13.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter534
85.7%
Uppercase Letter89
 
14.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i82
15.4%
n82
15.4%
s79
14.8%
e77
14.4%
h66
12.4%
g36
6.7%
l30
 
5.6%
a27
 
5.1%
r14
 
2.6%
u11
 
2.1%
Other values (8)30
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
C32
36.0%
E29
32.6%
R8
 
9.0%
N5
 
5.6%
K5
 
5.6%
T3
 
3.4%
A2
 
2.2%
L2
 
2.2%
S1
 
1.1%
H1
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
Latin623
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
i82
13.2%
n82
13.2%
s79
12.7%
e77
12.4%
h66
10.6%
g36
5.8%
C32
 
5.1%
l30
 
4.8%
E29
 
4.7%
a27
 
4.3%
Other values (19)83
13.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII623
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i82
13.2%
n82
13.2%
s79
12.7%
e77
12.4%
h66
10.6%
g36
5.8%
C32
 
5.1%
l30
 
4.8%
E29
 
4.7%
a27
 
4.3%
Other values (19)83
13.3%

_embedded.show.genres
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size856.0 B

_embedded.show.status
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size856.0 B
Ended
47 
Running
40 
To Be Determined
 
4

Length

Max length16
Median length5
Mean length6.362637363
Min length5

Characters and Unicode

Total characters579
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEnded
2nd rowEnded
3rd rowEnded
4th rowEnded
5th rowRunning

Common Values

ValueCountFrequency (%)
Ended47
51.6%
Running40
44.0%
To Be Determined4
 
4.4%

Length

2022-09-04T23:46:56.343286image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:46:56.418547image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
ended47
47.5%
running40
40.4%
to4
 
4.0%
be4
 
4.0%
determined4
 
4.0%

Most occurring characters

ValueCountFrequency (%)
n171
29.5%
d98
16.9%
e63
 
10.9%
E47
 
8.1%
i44
 
7.6%
R40
 
6.9%
u40
 
6.9%
g40
 
6.9%
8
 
1.4%
T4
 
0.7%
Other values (6)24
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter472
81.5%
Uppercase Letter99
 
17.1%
Space Separator8
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n171
36.2%
d98
20.8%
e63
 
13.3%
i44
 
9.3%
u40
 
8.5%
g40
 
8.5%
o4
 
0.8%
t4
 
0.8%
r4
 
0.8%
m4
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
E47
47.5%
R40
40.4%
T4
 
4.0%
B4
 
4.0%
D4
 
4.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin571
98.6%
Common8
 
1.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
n171
29.9%
d98
17.2%
e63
 
11.0%
E47
 
8.2%
i44
 
7.7%
R40
 
7.0%
u40
 
7.0%
g40
 
7.0%
T4
 
0.7%
o4
 
0.7%
Other values (5)20
 
3.5%
Common
ValueCountFrequency (%)
8
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII579
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n171
29.5%
d98
16.9%
e63
 
10.9%
E47
 
8.1%
i44
 
7.6%
R40
 
6.9%
u40
 
6.9%
g40
 
6.9%
8
 
1.4%
T4
 
0.7%
Other values (6)24
 
4.1%

_embedded.show.runtime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct23
Distinct (%)30.7%
Missing16
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean46.8
Minimum2
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size856.0 B
2022-09-04T23:46:56.488945image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q130
median45
Q360
95-th percentile120
Maximum180
Range178
Interquartile range (IQR)30

Descriptive statistics

Standard deviation33.28663395
Coefficient of variation (CV)0.7112528623
Kurtosis6.075272478
Mean46.8
Median Absolute Deviation (MAD)15
Skewness2.016781278
Sum3510
Variance1108
MonotonicityNot monotonic
2022-09-04T23:46:56.571811image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
4519
20.9%
6017
18.7%
104
 
4.4%
344
 
4.4%
204
 
4.4%
53
 
3.3%
303
 
3.3%
1202
 
2.2%
502
 
2.2%
1802
 
2.2%
Other values (13)15
16.5%
(Missing)16
17.6%
ValueCountFrequency (%)
21
 
1.1%
41
 
1.1%
53
3.3%
71
 
1.1%
104
4.4%
121
 
1.1%
151
 
1.1%
204
4.4%
231
 
1.1%
251
 
1.1%
ValueCountFrequency (%)
1802
 
2.2%
1301
 
1.1%
1202
 
2.2%
901
 
1.1%
6017
18.7%
512
 
2.2%
502
 
2.2%
481
 
1.1%
4519
20.9%
401
 
1.1%

_embedded.show.averageRuntime
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct30
Distinct (%)33.7%
Missing2
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean40.46067416
Minimum2
Maximum181
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size856.0 B
2022-09-04T23:46:56.661800image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5.8
Q120
median45
Q350
95-th percentile78
Maximum181
Range179
Interquartile range (IQR)30

Descriptive statistics

Standard deviation28.79672337
Coefficient of variation (CV)0.7117212941
Kurtosis6.866904909
Mean40.46067416
Median Absolute Deviation (MAD)15
Skewness1.981814467
Sum3601
Variance829.2512768
MonotonicityNot monotonic
2022-09-04T23:46:56.748800image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
4519
20.9%
6016
17.6%
308
 
8.8%
184
 
4.4%
104
 
4.4%
503
 
3.3%
203
 
3.3%
53
 
3.3%
82
 
2.2%
252
 
2.2%
Other values (20)25
27.5%
ValueCountFrequency (%)
21
 
1.1%
41
 
1.1%
53
3.3%
71
 
1.1%
82
2.2%
91
 
1.1%
104
4.4%
122
2.2%
152
2.2%
184
4.4%
ValueCountFrequency (%)
1811
 
1.1%
1301
 
1.1%
1202
 
2.2%
901
 
1.1%
6016
17.6%
503
 
3.3%
481
 
1.1%
471
 
1.1%
4519
20.9%
422
 
2.2%

_embedded.show.premiered
Categorical

HIGH CORRELATION

Distinct43
Distinct (%)47.3%
Missing0
Missing (%)0.0%
Memory size856.0 B
2020-12-28
17 
2020-12-21
2020-12-26
2020-12-14
2020-12-07
 
4
Other values (38)
46 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters910
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)33.0%

Sample

1st row2018-10-29
2nd row2020-05-11
3rd row2020-12-07
4th row2020-12-07
5th row2020-12-21

Common Values

ValueCountFrequency (%)
2020-12-2817
18.7%
2020-12-218
 
8.8%
2020-12-268
 
8.8%
2020-12-148
 
8.8%
2020-12-074
 
4.4%
2020-11-302
 
2.2%
2013-12-242
 
2.2%
2020-12-272
 
2.2%
2020-04-142
 
2.2%
2020-11-232
 
2.2%
Other values (33)36
39.6%

Length

2022-09-04T23:46:56.832302image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-2817
18.7%
2020-12-268
 
8.8%
2020-12-148
 
8.8%
2020-12-218
 
8.8%
2020-12-074
 
4.4%
2020-12-242
 
2.2%
2020-12-202
 
2.2%
2019-01-172
 
2.2%
2020-11-232
 
2.2%
2020-04-142
 
2.2%
Other values (33)36
39.6%

Most occurring characters

ValueCountFrequency (%)
2263
28.9%
0203
22.3%
-182
20.0%
1154
16.9%
823
 
2.5%
418
 
2.0%
917
 
1.9%
716
 
1.8%
315
 
1.6%
614
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number728
80.0%
Dash Punctuation182
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2263
36.1%
0203
27.9%
1154
21.2%
823
 
3.2%
418
 
2.5%
917
 
2.3%
716
 
2.2%
315
 
2.1%
614
 
1.9%
55
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
-182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common910
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2263
28.9%
0203
22.3%
-182
20.0%
1154
16.9%
823
 
2.5%
418
 
2.0%
917
 
1.9%
716
 
1.8%
315
 
1.6%
614
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII910
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2263
28.9%
0203
22.3%
-182
20.0%
1154
16.9%
823
 
2.5%
418
 
2.0%
917
 
1.9%
716
 
1.8%
315
 
1.6%
614
 
1.5%

_embedded.show.ended
Categorical

HIGH CORRELATION
MISSING

Distinct14
Distinct (%)29.8%
Missing44
Missing (%)48.4%
Memory size856.0 B
2020-12-28
2021-01-19
2021-01-18
2021-01-07
2022-05-02
Other values (9)
15 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters470
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)10.6%

Sample

1st row2021-01-07
2nd row2022-08-30
3rd row2020-12-28
4th row2020-12-28
5th row2020-12-28

Common Values

ValueCountFrequency (%)
2020-12-289
 
9.9%
2021-01-198
 
8.8%
2021-01-186
 
6.6%
2021-01-075
 
5.5%
2022-05-024
 
4.4%
2020-12-303
 
3.3%
2021-01-253
 
3.3%
2021-01-052
 
2.2%
2021-01-152
 
2.2%
2022-08-301
 
1.1%
Other values (4)4
 
4.4%
(Missing)44
48.4%

Length

2022-09-04T23:46:56.896303image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-289
19.1%
2021-01-198
17.0%
2021-01-186
12.8%
2021-01-075
10.6%
2022-05-024
8.5%
2020-12-303
 
6.4%
2021-01-253
 
6.4%
2021-01-052
 
4.3%
2021-01-152
 
4.3%
2022-08-301
 
2.1%
Other values (4)4
8.5%

Most occurring characters

ValueCountFrequency (%)
2133
28.3%
0111
23.6%
-94
20.0%
185
18.1%
816
 
3.4%
511
 
2.3%
98
 
1.7%
76
 
1.3%
35
 
1.1%
61
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number376
80.0%
Dash Punctuation94
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2133
35.4%
0111
29.5%
185
22.6%
816
 
4.3%
511
 
2.9%
98
 
2.1%
76
 
1.6%
35
 
1.3%
61
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
-94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common470
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2133
28.3%
0111
23.6%
-94
20.0%
185
18.1%
816
 
3.4%
511
 
2.3%
98
 
1.7%
76
 
1.3%
35
 
1.1%
61
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII470
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2133
28.3%
0111
23.6%
-94
20.0%
185
18.1%
816
 
3.4%
511
 
2.3%
98
 
1.7%
76
 
1.3%
35
 
1.1%
61
 
0.2%

_embedded.show.officialSite
Categorical

HIGH CORRELATION
MISSING

Distinct48
Distinct (%)65.8%
Missing18
Missing (%)19.8%
Memory size856.0 B
https://www.itv.com/hub/the-real-housewives-of-jersey/
10 
https://programme.mytvsuper.com/tc/130336/
https://www.iqiyi.com/a_c4m3iuc94t.html
 
4
https://youtube.com/playlist?list=PLRpysEUKISbLtgIeg_-N1px7xJWsTACof
 
4
https://v.qq.com/detail/m/mzc00200dnvb1wh.html
 
2
Other values (43)
48 

Length

Max length92
Median length62
Mean length48.16438356
Min length18

Characters and Unicode

Total characters3516
Distinct characters76
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)52.1%

Sample

1st rowhttps://premier.one/show/8405
2nd rowhttps://premier.one/collections/134
3rd rowhttps://premier.one/show/12339
4th rowhttps://premier.one/show/12339
5th rowhttps://v.qq.com/detail/m/mzc002007995z4v.html

Common Values

ValueCountFrequency (%)
https://www.itv.com/hub/the-real-housewives-of-jersey/10
 
11.0%
https://programme.mytvsuper.com/tc/130336/5
 
5.5%
https://www.iqiyi.com/a_c4m3iuc94t.html4
 
4.4%
https://youtube.com/playlist?list=PLRpysEUKISbLtgIeg_-N1px7xJWsTACof4
 
4.4%
https://v.qq.com/detail/m/mzc00200dnvb1wh.html2
 
2.2%
https://www.tytnetwork.com2
 
2.2%
https://premier.one/show/123392
 
2.2%
http://www.iqiyi.com/a_19rrhvpyyp.html2
 
2.2%
https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=2
 
2.2%
https://tv.nrk.no/serie/bablo2
 
2.2%
Other values (38)38
41.8%
(Missing)18
19.8%

Length

2022-09-04T23:46:56.977435image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.itv.com/hub/the-real-housewives-of-jersey10
 
13.7%
https://programme.mytvsuper.com/tc/1303365
 
6.8%
https://www.iqiyi.com/a_c4m3iuc94t.html4
 
5.5%
https://youtube.com/playlist?list=plrpyseukisbltgieg_-n1px7xjwstacof4
 
5.5%
http://www.iqiyi.com/a_19rrhvpyyp.html2
 
2.7%
https://v.qq.com/x/search/?q=+%e4%bb%8a%e5%a4%95%e4%bd%95%e5%a4%95&stag=0&smartbox_ab2
 
2.7%
https://tv.nrk.no/serie/bablo2
 
2.7%
https://premier.one/show/123392
 
2.7%
https://www.tytnetwork.com2
 
2.7%
https://v.qq.com/detail/m/mzc00200dnvb1wh.html2
 
2.7%
Other values (38)38
52.1%

Most occurring characters

ValueCountFrequency (%)
/311
 
8.8%
t303
 
8.6%
e208
 
5.9%
s202
 
5.7%
o164
 
4.7%
h152
 
4.3%
.135
 
3.8%
p132
 
3.8%
w126
 
3.6%
r118
 
3.4%
Other values (66)1665
47.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2405
68.4%
Other Punctuation566
 
16.1%
Decimal Number260
 
7.4%
Uppercase Letter167
 
4.7%
Dash Punctuation85
 
2.4%
Math Symbol18
 
0.5%
Connector Punctuation15
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t303
 
12.6%
e208
 
8.6%
s202
 
8.4%
o164
 
6.8%
h152
 
6.3%
p132
 
5.5%
w126
 
5.2%
r118
 
4.9%
i116
 
4.8%
m116
 
4.8%
Other values (16)768
31.9%
Uppercase Letter
ValueCountFrequency (%)
L15
 
9.0%
E14
 
8.4%
P12
 
7.2%
A12
 
7.2%
T11
 
6.6%
I10
 
6.0%
B9
 
5.4%
U9
 
5.4%
C9
 
5.4%
S7
 
4.2%
Other values (16)59
35.3%
Other Punctuation
ValueCountFrequency (%)
/311
54.9%
.135
23.9%
:73
 
12.9%
%25
 
4.4%
?10
 
1.8%
&6
 
1.1%
,2
 
0.4%
'2
 
0.4%
#1
 
0.2%
!1
 
0.2%
Decimal Number
ValueCountFrequency (%)
038
14.6%
337
14.2%
134
13.1%
431
11.9%
923
8.8%
523
8.8%
222
8.5%
621
8.1%
717
6.5%
814
 
5.4%
Math Symbol
ValueCountFrequency (%)
=16
88.9%
+2
 
11.1%
Dash Punctuation
ValueCountFrequency (%)
-85
100.0%
Connector Punctuation
ValueCountFrequency (%)
_15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2572
73.2%
Common944
 
26.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t303
 
11.8%
e208
 
8.1%
s202
 
7.9%
o164
 
6.4%
h152
 
5.9%
p132
 
5.1%
w126
 
4.9%
r118
 
4.6%
i116
 
4.5%
m116
 
4.5%
Other values (42)935
36.4%
Common
ValueCountFrequency (%)
/311
32.9%
.135
14.3%
-85
 
9.0%
:73
 
7.7%
038
 
4.0%
337
 
3.9%
134
 
3.6%
431
 
3.3%
%25
 
2.6%
923
 
2.4%
Other values (14)152
16.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII3516
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/311
 
8.8%
t303
 
8.6%
e208
 
5.9%
s202
 
5.7%
o164
 
4.7%
h152
 
4.3%
.135
 
3.8%
p132
 
3.8%
w126
 
3.6%
r118
 
3.4%
Other values (66)1665
47.4%

_embedded.show.schedule.time
Categorical

HIGH CORRELATION

Distinct11
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size856.0 B
49 
20:00
21 
21:00
11 
10:00
 
2
19:00
 
2
Other values (6)

Length

Max length5
Median length0
Mean length2.307692308
Min length0

Characters and Unicode

Total characters210
Distinct characters8
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)6.6%

Sample

1st row22:00
2nd row12:00
3rd row
4th row
5th row10:00

Common Values

ValueCountFrequency (%)
49
53.8%
20:0021
23.1%
21:0011
 
12.1%
10:002
 
2.2%
19:002
 
2.2%
22:001
 
1.1%
12:001
 
1.1%
08:001
 
1.1%
06:001
 
1.1%
17:001
 
1.1%

Length

2022-09-04T23:46:57.062123image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20:0021
50.0%
21:0011
26.2%
10:002
 
4.8%
19:002
 
4.8%
22:001
 
2.4%
12:001
 
2.4%
08:001
 
2.4%
06:001
 
2.4%
17:001
 
2.4%
00:001
 
2.4%

Most occurring characters

ValueCountFrequency (%)
0111
52.9%
:42
 
20.0%
235
 
16.7%
117
 
8.1%
92
 
1.0%
81
 
0.5%
61
 
0.5%
71
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number168
80.0%
Other Punctuation42
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0111
66.1%
235
 
20.8%
117
 
10.1%
92
 
1.2%
81
 
0.6%
61
 
0.6%
71
 
0.6%
Other Punctuation
ValueCountFrequency (%)
:42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common210
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0111
52.9%
:42
 
20.0%
235
 
16.7%
117
 
8.1%
92
 
1.0%
81
 
0.5%
61
 
0.5%
71
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII210
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0111
52.9%
:42
 
20.0%
235
 
16.7%
117
 
8.1%
92
 
1.0%
81
 
0.5%
61
 
0.5%
71
 
0.5%

_embedded.show.schedule.days
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size856.0 B

_embedded.show.rating.average
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct5
Distinct (%)83.3%
Missing85
Missing (%)93.4%
Memory size856.0 B
7.2
7.7
7.0
7.5
5.6

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters18
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)66.7%

Sample

1st row7.7
2nd row7.0
3rd row7.2
4th row7.2
5th row7.5

Common Values

ValueCountFrequency (%)
7.22
 
2.2%
7.71
 
1.1%
7.01
 
1.1%
7.51
 
1.1%
5.61
 
1.1%
(Missing)85
93.4%

Length

2022-09-04T23:46:57.128055image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:46:57.199264image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
7.22
33.3%
7.71
16.7%
7.01
16.7%
7.51
16.7%
5.61
16.7%

Most occurring characters

ValueCountFrequency (%)
76
33.3%
.6
33.3%
22
 
11.1%
52
 
11.1%
01
 
5.6%
61
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number12
66.7%
Other Punctuation6
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
76
50.0%
22
 
16.7%
52
 
16.7%
01
 
8.3%
61
 
8.3%
Other Punctuation
ValueCountFrequency (%)
.6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common18
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
76
33.3%
.6
33.3%
22
 
11.1%
52
 
11.1%
01
 
5.6%
61
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII18
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
76
33.3%
.6
33.3%
22
 
11.1%
52
 
11.1%
01
 
5.6%
61
 
5.6%

_embedded.show.weight
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct38
Distinct (%)41.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.7032967
Minimum1
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size856.0 B
2022-09-04T23:46:57.280187image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q120
median23
Q342
95-th percentile80
Maximum96
Range95
Interquartile range (IQR)22

Descriptive statistics

Standard deviation24.17321498
Coefficient of variation (CV)0.7391675279
Kurtosis-0.02834415971
Mean32.7032967
Median Absolute Deviation (MAD)9
Skewness1.013537883
Sum2976
Variance584.3443223
MonotonicityNot monotonic
2022-09-04T23:46:57.364413image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
2017
18.7%
6810
 
11.0%
46
 
6.6%
236
 
6.6%
113
 
3.3%
303
 
3.3%
333
 
3.3%
273
 
3.3%
293
 
3.3%
842
 
2.2%
Other values (28)35
38.5%
ValueCountFrequency (%)
11
 
1.1%
21
 
1.1%
46
6.6%
72
 
2.2%
81
 
1.1%
113
3.3%
121
 
1.1%
142
 
2.2%
152
 
2.2%
182
 
2.2%
ValueCountFrequency (%)
961
 
1.1%
951
 
1.1%
871
 
1.1%
842
 
2.2%
761
 
1.1%
721
 
1.1%
701
 
1.1%
691
 
1.1%
6810
11.0%
541
 
1.1%

_embedded.show.network
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing91
Missing (%)100.0%
Memory size856.0 B

_embedded.show.webChannel.id
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct27
Distinct (%)33.8%
Missing11
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean161.1125
Minimum1
Maximum518
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size856.0 B
2022-09-04T23:46:57.447423image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21
Q132
median111
Q3244
95-th percentile436.45
Maximum518
Range517
Interquartile range (IQR)212

Descriptive statistics

Standard deviation139.2921521
Coefficient of variation (CV)0.8645645255
Kurtosis-0.09134516352
Mean161.1125
Median Absolute Deviation (MAD)90
Skewness0.8328443377
Sum12889
Variance19402.30364
MonotonicityNot monotonic
2022-09-04T23:46:57.681880image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
2114
15.4%
22610
11.0%
678
 
8.8%
1046
 
6.6%
2625
 
5.5%
2814
 
4.4%
434
 
4.4%
2383
 
3.3%
323
 
3.3%
5182
 
2.2%
Other values (17)21
23.1%
(Missing)11
12.1%
ValueCountFrequency (%)
11
 
1.1%
152
 
2.2%
2114
15.4%
302
 
2.2%
323
 
3.3%
434
 
4.4%
678
8.8%
1046
6.6%
1182
 
2.2%
1221
 
1.1%
ValueCountFrequency (%)
5182
2.2%
5161
 
1.1%
4451
 
1.1%
4361
 
1.1%
4131
 
1.1%
3792
2.2%
3671
 
1.1%
3271
 
1.1%
2941
 
1.1%
2814
4.4%

_embedded.show.webChannel.name
Categorical

HIGH CORRELATION
MISSING

Distinct26
Distinct (%)32.5%
Missing11
Missing (%)12.1%
Memory size856.0 B
YouTube
14 
Mango TV
10 
iQIYI
Tencent QQ
myTV SUPER
Other values (21)
37 

Length

Max length20
Median length14
Mean length8.3125
Min length3

Characters and Unicode

Total characters665
Distinct characters44
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)13.8%

Sample

1st rowPremier
2nd rowPremier
3rd rowPremier
4th rowPremier
5th rowTencent QQ

Common Values

ValueCountFrequency (%)
YouTube14
15.4%
Mango TV10
11.0%
iQIYI8
 
8.8%
Tencent QQ6
 
6.6%
myTV SUPER5
 
5.5%
YouTube Premium4
 
4.4%
Premier4
 
4.4%
NRK TV3
 
3.3%
Rooster Teeth3
 
3.3%
WWE Network2
 
2.2%
Other values (16)21
23.1%
(Missing)11
12.1%

Length

2022-09-04T23:46:57.788748image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
youtube18
14.4%
tv17
13.6%
mango10
 
8.0%
iqiyi8
 
6.4%
tencent6
 
4.8%
qq6
 
4.8%
mytv5
 
4.0%
super5
 
4.0%
premier4
 
3.2%
premium4
 
3.2%
Other values (26)42
33.6%

Most occurring characters

ValueCountFrequency (%)
e64
 
9.6%
T55
 
8.3%
o48
 
7.2%
u46
 
6.9%
45
 
6.8%
Y28
 
4.2%
V28
 
4.2%
a24
 
3.6%
n23
 
3.5%
i22
 
3.3%
Other values (34)282
42.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter380
57.1%
Uppercase Letter235
35.3%
Space Separator45
 
6.8%
Decimal Number3
 
0.5%
Math Symbol2
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e64
16.8%
o48
12.6%
u46
12.1%
a24
 
6.3%
n23
 
6.1%
i22
 
5.8%
r22
 
5.8%
t21
 
5.5%
b19
 
5.0%
m18
 
4.7%
Other values (12)73
19.2%
Uppercase Letter
ValueCountFrequency (%)
T55
23.4%
Y28
11.9%
V28
11.9%
Q20
 
8.5%
I18
 
7.7%
P16
 
6.8%
R11
 
4.7%
M10
 
4.3%
N9
 
3.8%
E8
 
3.4%
Other values (8)32
13.6%
Decimal Number
ValueCountFrequency (%)
32
66.7%
21
33.3%
Space Separator
ValueCountFrequency (%)
45
100.0%
Math Symbol
ValueCountFrequency (%)
+2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin615
92.5%
Common50
 
7.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e64
 
10.4%
T55
 
8.9%
o48
 
7.8%
u46
 
7.5%
Y28
 
4.6%
V28
 
4.6%
a24
 
3.9%
n23
 
3.7%
i22
 
3.6%
r22
 
3.6%
Other values (30)255
41.5%
Common
ValueCountFrequency (%)
45
90.0%
+2
 
4.0%
32
 
4.0%
21
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII665
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e64
 
9.6%
T55
 
8.3%
o48
 
7.2%
u46
 
6.9%
45
 
6.8%
Y28
 
4.2%
V28
 
4.2%
a24
 
3.6%
n23
 
3.5%
i22
 
3.3%
Other values (34)282
42.4%

_embedded.show.webChannel.country.name
Categorical

HIGH CORRELATION
MISSING

Distinct9
Distinct (%)20.5%
Missing47
Missing (%)51.6%
Memory size856.0 B
China
18 
United States
Hong Kong
Russian Federation
Korea, Republic of
Other values (4)

Length

Max length25
Median length18
Mean length9.5
Min length5

Characters and Unicode

Total characters418
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)6.8%

Sample

1st rowRussian Federation
2nd rowRussian Federation
3rd rowRussian Federation
4th rowRussian Federation
5th rowChina

Common Values

ValueCountFrequency (%)
China18
 
19.8%
United States6
 
6.6%
Hong Kong5
 
5.5%
Russian Federation4
 
4.4%
Korea, Republic of4
 
4.4%
Norway4
 
4.4%
Taiwan, Province of China1
 
1.1%
Sweden1
 
1.1%
Turkey1
 
1.1%
(Missing)47
51.6%

Length

2022-09-04T23:46:57.880564image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:46:57.983294image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
china19
27.1%
united6
 
8.6%
states6
 
8.6%
hong5
 
7.1%
kong5
 
7.1%
of5
 
7.1%
russian4
 
5.7%
federation4
 
5.7%
korea4
 
5.7%
republic4
 
5.7%
Other values (5)8
11.4%

Most occurring characters

ValueCountFrequency (%)
n46
 
11.0%
a43
 
10.3%
i39
 
9.3%
e32
 
7.7%
o28
 
6.7%
26
 
6.2%
t22
 
5.3%
C19
 
4.5%
h19
 
4.5%
r14
 
3.3%
Other values (23)130
31.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter322
77.0%
Uppercase Letter65
 
15.6%
Space Separator26
 
6.2%
Other Punctuation5
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n46
14.3%
a43
13.4%
i39
12.1%
e32
9.9%
o28
8.7%
t22
6.8%
h19
 
5.9%
r14
 
4.3%
s14
 
4.3%
d11
 
3.4%
Other values (11)54
16.8%
Uppercase Letter
ValueCountFrequency (%)
C19
29.2%
K9
13.8%
R8
12.3%
S7
 
10.8%
U6
 
9.2%
H5
 
7.7%
N4
 
6.2%
F4
 
6.2%
T2
 
3.1%
P1
 
1.5%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
,5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin387
92.6%
Common31
 
7.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
n46
11.9%
a43
 
11.1%
i39
 
10.1%
e32
 
8.3%
o28
 
7.2%
t22
 
5.7%
C19
 
4.9%
h19
 
4.9%
r14
 
3.6%
s14
 
3.6%
Other values (21)111
28.7%
Common
ValueCountFrequency (%)
26
83.9%
,5
 
16.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII418
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n46
 
11.0%
a43
 
10.3%
i39
 
9.3%
e32
 
7.7%
o28
 
6.7%
26
 
6.2%
t22
 
5.3%
C19
 
4.5%
h19
 
4.5%
r14
 
3.3%
Other values (23)130
31.1%

_embedded.show.webChannel.country.code
Categorical

HIGH CORRELATION
MISSING

Distinct9
Distinct (%)20.5%
Missing47
Missing (%)51.6%
Memory size856.0 B
CN
18 
US
HK
RU
KR
Other values (4)

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters88
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)6.8%

Sample

1st rowRU
2nd rowRU
3rd rowRU
4th rowRU
5th rowCN

Common Values

ValueCountFrequency (%)
CN18
 
19.8%
US6
 
6.6%
HK5
 
5.5%
RU4
 
4.4%
KR4
 
4.4%
NO4
 
4.4%
TW1
 
1.1%
SE1
 
1.1%
TR1
 
1.1%
(Missing)47
51.6%

Length

2022-09-04T23:46:58.080236image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:46:58.170230image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
cn18
40.9%
us6
 
13.6%
hk5
 
11.4%
ru4
 
9.1%
kr4
 
9.1%
no4
 
9.1%
tw1
 
2.3%
se1
 
2.3%
tr1
 
2.3%

Most occurring characters

ValueCountFrequency (%)
N22
25.0%
C18
20.5%
U10
11.4%
K9
10.2%
R9
10.2%
S7
 
8.0%
H5
 
5.7%
O4
 
4.5%
T2
 
2.3%
W1
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter88
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N22
25.0%
C18
20.5%
U10
11.4%
K9
10.2%
R9
10.2%
S7
 
8.0%
H5
 
5.7%
O4
 
4.5%
T2
 
2.3%
W1
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
Latin88
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N22
25.0%
C18
20.5%
U10
11.4%
K9
10.2%
R9
10.2%
S7
 
8.0%
H5
 
5.7%
O4
 
4.5%
T2
 
2.3%
W1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII88
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N22
25.0%
C18
20.5%
U10
11.4%
K9
10.2%
R9
10.2%
S7
 
8.0%
H5
 
5.7%
O4
 
4.5%
T2
 
2.3%
W1
 
1.1%

_embedded.show.webChannel.country.timezone
Categorical

HIGH CORRELATION
MISSING

Distinct9
Distinct (%)20.5%
Missing47
Missing (%)51.6%
Memory size856.0 B
Asia/Shanghai
18 
America/New_York
Asia/Hong_Kong
Asia/Kamchatka
Asia/Seoul
Other values (4)

Length

Max length16
Median length15
Mean length13.22727273
Min length10

Characters and Unicode

Total characters582
Distinct characters30
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)6.8%

Sample

1st rowAsia/Kamchatka
2nd rowAsia/Kamchatka
3rd rowAsia/Kamchatka
4th rowAsia/Kamchatka
5th rowAsia/Shanghai

Common Values

ValueCountFrequency (%)
Asia/Shanghai18
 
19.8%
America/New_York6
 
6.6%
Asia/Hong_Kong5
 
5.5%
Asia/Kamchatka4
 
4.4%
Asia/Seoul4
 
4.4%
Europe/Oslo4
 
4.4%
Asia/Taipei1
 
1.1%
Europe/Stockholm1
 
1.1%
Europe/Istanbul1
 
1.1%
(Missing)47
51.6%

Length

2022-09-04T23:46:58.265230image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:46:58.363231image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
asia/shanghai18
40.9%
america/new_york6
 
13.6%
asia/hong_kong5
 
11.4%
asia/kamchatka4
 
9.1%
asia/seoul4
 
9.1%
europe/oslo4
 
9.1%
asia/taipei1
 
2.3%
europe/stockholm1
 
2.3%
europe/istanbul1
 
2.3%

Most occurring characters

ValueCountFrequency (%)
a88
15.1%
i58
 
10.0%
/44
 
7.6%
h41
 
7.0%
A38
 
6.5%
s37
 
6.4%
o32
 
5.5%
n29
 
5.0%
g28
 
4.8%
S23
 
4.0%
Other values (20)164
28.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter428
73.5%
Uppercase Letter99
 
17.0%
Other Punctuation44
 
7.6%
Connector Punctuation11
 
1.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a88
20.6%
i58
13.6%
h41
9.6%
s37
8.6%
o32
 
7.5%
n29
 
6.8%
g28
 
6.5%
e23
 
5.4%
r18
 
4.2%
u11
 
2.6%
Other values (8)63
14.7%
Uppercase Letter
ValueCountFrequency (%)
A38
38.4%
S23
23.2%
K9
 
9.1%
Y6
 
6.1%
N6
 
6.1%
E6
 
6.1%
H5
 
5.1%
O4
 
4.0%
T1
 
1.0%
I1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
/44
100.0%
Connector Punctuation
ValueCountFrequency (%)
_11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin527
90.5%
Common55
 
9.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a88
16.7%
i58
11.0%
h41
 
7.8%
A38
 
7.2%
s37
 
7.0%
o32
 
6.1%
n29
 
5.5%
g28
 
5.3%
S23
 
4.4%
e23
 
4.4%
Other values (18)130
24.7%
Common
ValueCountFrequency (%)
/44
80.0%
_11
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII582
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a88
15.1%
i58
 
10.0%
/44
 
7.6%
h41
 
7.0%
A38
 
6.5%
s37
 
6.4%
o32
 
5.5%
n29
 
5.0%
g28
 
4.8%
S23
 
4.0%
Other values (20)164
28.2%

_embedded.show.webChannel.officialSite
Categorical

HIGH CORRELATION
MISSING

Distinct10
Distinct (%)22.2%
Missing46
Missing (%)50.5%
Memory size856.0 B
https://www.youtube.com
14 
https://w.mgtv.com/
10 
https://www.iq.com/
https://v.qq.com/
https://tv.naver.com/
Other values (5)

Length

Max length30
Median length25
Mean length20.62222222
Min length17

Characters and Unicode

Total characters928
Distinct characters27
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)11.1%

Sample

1st rowhttps://v.qq.com/
2nd rowhttps://www.vlive.tv/home
3rd rowhttps://tv.naver.com/
4th rowhttps://www.iq.com/
5th rowhttps://www.iq.com/

Common Values

ValueCountFrequency (%)
https://www.youtube.com14
 
15.4%
https://w.mgtv.com/10
 
11.0%
https://www.iq.com/8
 
8.8%
https://v.qq.com/6
 
6.6%
https://tv.naver.com/2
 
2.2%
https://www.vlive.tv/home1
 
1.1%
https://tv.kakao.com/top1
 
1.1%
https://wetv.vip/1
 
1.1%
https://www.discoveryplus.com/1
 
1.1%
https://www.netflix.com/1
 
1.1%
(Missing)46
50.5%

Length

2022-09-04T23:46:58.469229image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:46:58.560717image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
https://www.youtube.com14
31.1%
https://w.mgtv.com10
22.2%
https://www.iq.com8
17.8%
https://v.qq.com6
13.3%
https://tv.naver.com2
 
4.4%
https://www.vlive.tv/home1
 
2.2%
https://tv.kakao.com/top1
 
2.2%
https://wetv.vip1
 
2.2%
https://www.discoveryplus.com1
 
2.2%
https://www.netflix.com1
 
2.2%

Most occurring characters

ValueCountFrequency (%)
t121
13.0%
/121
13.0%
.89
9.6%
w86
9.3%
o61
 
6.6%
m54
 
5.8%
p48
 
5.2%
s47
 
5.1%
h46
 
5.0%
:45
 
4.8%
Other values (17)210
22.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter673
72.5%
Other Punctuation255
 
27.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t121
18.0%
w86
12.8%
o61
9.1%
m54
8.0%
p48
 
7.1%
s47
 
7.0%
h46
 
6.8%
c44
 
6.5%
u29
 
4.3%
v27
 
4.0%
Other values (14)110
16.3%
Other Punctuation
ValueCountFrequency (%)
/121
47.5%
.89
34.9%
:45
 
17.6%

Most occurring scripts

ValueCountFrequency (%)
Latin673
72.5%
Common255
 
27.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t121
18.0%
w86
12.8%
o61
9.1%
m54
8.0%
p48
 
7.1%
s47
 
7.0%
h46
 
6.8%
c44
 
6.5%
u29
 
4.3%
v27
 
4.0%
Other values (14)110
16.3%
Common
ValueCountFrequency (%)
/121
47.5%
.89
34.9%
:45
 
17.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII928
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t121
13.0%
/121
13.0%
.89
9.6%
w86
9.3%
o61
 
6.6%
m54
 
5.8%
p48
 
5.2%
s47
 
5.1%
h46
 
5.0%
:45
 
4.8%
Other values (17)210
22.6%

_embedded.show.dvdCountry
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing91
Missing (%)100.0%
Memory size856.0 B

_embedded.show.externals.tvrage
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct3
Distinct (%)100.0%
Missing88
Missing (%)96.7%
Memory size856.0 B
30282.0
19056.0
6659.0

Length

Max length7
Median length7
Mean length6.666666667
Min length6

Characters and Unicode

Total characters20
Distinct characters9
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row30282.0
2nd row19056.0
3rd row6659.0

Common Values

ValueCountFrequency (%)
30282.01
 
1.1%
19056.01
 
1.1%
6659.01
 
1.1%
(Missing)88
96.7%

Length

2022-09-04T23:46:58.659717image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:46:58.745530image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
30282.01
33.3%
19056.01
33.3%
6659.01
33.3%

Most occurring characters

ValueCountFrequency (%)
05
25.0%
.3
15.0%
63
15.0%
22
 
10.0%
92
 
10.0%
52
 
10.0%
31
 
5.0%
81
 
5.0%
11
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number17
85.0%
Other Punctuation3
 
15.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
05
29.4%
63
17.6%
22
 
11.8%
92
 
11.8%
52
 
11.8%
31
 
5.9%
81
 
5.9%
11
 
5.9%
Other Punctuation
ValueCountFrequency (%)
.3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common20
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
05
25.0%
.3
15.0%
63
15.0%
22
 
10.0%
92
 
10.0%
52
 
10.0%
31
 
5.0%
81
 
5.0%
11
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII20
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
05
25.0%
.3
15.0%
63
15.0%
22
 
10.0%
92
 
10.0%
52
 
10.0%
31
 
5.0%
81
 
5.0%
11
 
5.0%

_embedded.show.externals.thetvdb
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct44
Distinct (%)66.7%
Missing25
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean351618.0909
Minimum73246
Maximum410187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size856.0 B
2022-09-04T23:46:58.820249image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum73246
5-th percentile141733
Q1340816.75
median392932
Q3393672.75
95-th percentile395015.5
Maximum410187
Range336941
Interquartile range (IQR)52856

Descriptive statistics

Standard deviation79268.11474
Coefficient of variation (CV)0.2254381011
Kurtosis6.025002446
Mean351618.0909
Median Absolute Deviation (MAD)1615
Skewness-2.497445412
Sum23206794
Variance6283434014
MonotonicityNot monotonic
2022-09-04T23:46:58.905246image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
39293210
 
11.0%
3934735
 
5.5%
3941034
 
4.4%
3940712
 
2.2%
3937262
 
2.2%
3602222
 
2.2%
3933812
 
2.2%
3922142
 
2.2%
2787932
 
2.2%
3697981
 
1.1%
Other values (34)34
37.4%
(Missing)25
27.5%
ValueCountFrequency (%)
732461
1.1%
767791
1.1%
788961
1.1%
1042711
1.1%
2541191
1.1%
2608291
1.1%
2644581
1.1%
2651931
1.1%
2787932
2.2%
3203511
1.1%
ValueCountFrequency (%)
4101871
 
1.1%
4089561
 
1.1%
4017901
 
1.1%
3951451
 
1.1%
3946271
 
1.1%
3944671
 
1.1%
3941034
4.4%
3940871
 
1.1%
3940712
2.2%
3940451
 
1.1%

_embedded.show.externals.imdb
Categorical

HIGH CORRELATION
MISSING

Distinct27
Distinct (%)54.0%
Missing41
Missing (%)45.1%
Memory size856.0 B
tt12926306
10 
tt12199200
tt13698382
tt11939550
 
2
tt13598988
 
2
Other values (22)
24 

Length

Max length10
Median length10
Mean length9.74
Min length9

Characters and Unicode

Total characters487
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)40.0%

Sample

1st rowtt8561620
2nd rowtt14125832
3rd rowtt11939550
4th rowtt11939550
5th rowtt12923874

Common Values

ValueCountFrequency (%)
tt1292630610
 
11.0%
tt121992008
 
8.8%
tt136983824
 
4.4%
tt119395502
 
2.2%
tt135989882
 
2.2%
tt122171522
 
2.2%
tt17148102
 
2.2%
tt98838361
 
1.1%
tt155295661
 
1.1%
tt74319941
 
1.1%
Other values (17)17
18.7%
(Missing)41
45.1%

Length

2022-09-04T23:46:58.997698image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
tt1292630610
20.0%
tt121992008
16.0%
tt136983824
 
8.0%
tt119395502
 
4.0%
tt135989882
 
4.0%
tt122171522
 
4.0%
tt17148102
 
4.0%
tt65814281
 
2.0%
tt141258321
 
2.0%
tt129238741
 
2.0%
Other values (17)17
34.0%

Most occurring characters

ValueCountFrequency (%)
t100
20.5%
168
14.0%
266
13.6%
949
10.1%
043
8.8%
639
 
8.0%
337
 
7.6%
835
 
7.2%
518
 
3.7%
418
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number387
79.5%
Lowercase Letter100
 
20.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
168
17.6%
266
17.1%
949
12.7%
043
11.1%
639
10.1%
337
9.6%
835
9.0%
518
 
4.7%
418
 
4.7%
714
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
t100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common387
79.5%
Latin100
 
20.5%

Most frequent character per script

Common
ValueCountFrequency (%)
168
17.6%
266
17.1%
949
12.7%
043
11.1%
639
10.1%
337
9.6%
835
9.0%
518
 
4.7%
418
 
4.7%
714
 
3.6%
Latin
ValueCountFrequency (%)
t100
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII487
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t100
20.5%
168
14.0%
266
13.6%
949
10.1%
043
8.8%
639
 
8.0%
337
 
7.6%
835
 
7.2%
518
 
3.7%
418
 
3.7%

_embedded.show.image.medium
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct53
Distinct (%)62.4%
Missing6
Missing (%)6.6%
Memory size856.0 B
https://static.tvmaze.com/uploads/images/medium_portrait/375/939806.jpg
10 
https://static.tvmaze.com/uploads/images/medium_portrait/291/727817.jpg
https://static.tvmaze.com/uploads/images/medium_portrait/289/723058.jpg
 
5
https://static.tvmaze.com/uploads/images/medium_portrait/290/727385.jpg
 
4
https://static.tvmaze.com/uploads/images/medium_portrait/289/723488.jpg
 
2
Other values (48)
56 

Length

Max length72
Median length71
Mean length70.95294118
Min length69

Characters and Unicode

Total characters6031
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)47.1%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_portrait/289/722910.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_portrait/285/713049.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_portrait/287/718741.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_portrait/287/718741.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_portrait/320/800829.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/375/939806.jpg10
 
11.0%
https://static.tvmaze.com/uploads/images/medium_portrait/291/727817.jpg8
 
8.8%
https://static.tvmaze.com/uploads/images/medium_portrait/289/723058.jpg5
 
5.5%
https://static.tvmaze.com/uploads/images/medium_portrait/290/727385.jpg4
 
4.4%
https://static.tvmaze.com/uploads/images/medium_portrait/289/723488.jpg2
 
2.2%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729461.jpg2
 
2.2%
https://static.tvmaze.com/uploads/images/medium_portrait/285/713040.jpg2
 
2.2%
https://static.tvmaze.com/uploads/images/medium_portrait/350/877136.jpg2
 
2.2%
https://static.tvmaze.com/uploads/images/medium_portrait/51/129595.jpg2
 
2.2%
https://static.tvmaze.com/uploads/images/medium_portrait/292/731984.jpg2
 
2.2%
Other values (43)46
50.5%
(Missing)6
 
6.6%

Length

2022-09-04T23:46:59.089192image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/375/939806.jpg10
 
11.8%
https://static.tvmaze.com/uploads/images/medium_portrait/291/727817.jpg8
 
9.4%
https://static.tvmaze.com/uploads/images/medium_portrait/289/723058.jpg5
 
5.9%
https://static.tvmaze.com/uploads/images/medium_portrait/290/727385.jpg4
 
4.7%
https://static.tvmaze.com/uploads/images/medium_portrait/51/129595.jpg2
 
2.4%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729467.jpg2
 
2.4%
https://static.tvmaze.com/uploads/images/medium_portrait/189/473411.jpg2
 
2.4%
https://static.tvmaze.com/uploads/images/medium_portrait/292/731984.jpg2
 
2.4%
https://static.tvmaze.com/uploads/images/medium_portrait/287/718741.jpg2
 
2.4%
https://static.tvmaze.com/uploads/images/medium_portrait/350/877136.jpg2
 
2.4%
Other values (43)46
54.1%

Most occurring characters

ValueCountFrequency (%)
t595
 
9.9%
/595
 
9.9%
m425
 
7.0%
a425
 
7.0%
p340
 
5.6%
s340
 
5.6%
i340
 
5.6%
.255
 
4.2%
o255
 
4.2%
e255
 
4.2%
Other values (22)2206
36.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4250
70.5%
Other Punctuation935
 
15.5%
Decimal Number761
 
12.6%
Connector Punctuation85
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t595
14.0%
m425
10.0%
a425
10.0%
p340
 
8.0%
s340
 
8.0%
i340
 
8.0%
o255
 
6.0%
e255
 
6.0%
u170
 
4.0%
r170
 
4.0%
Other values (8)935
22.0%
Decimal Number
ValueCountFrequency (%)
7112
14.7%
2102
13.4%
9101
13.3%
385
11.2%
882
10.8%
174
9.7%
557
7.5%
056
7.4%
450
6.6%
642
 
5.5%
Other Punctuation
ValueCountFrequency (%)
/595
63.6%
.255
27.3%
:85
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4250
70.5%
Common1781
29.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t595
14.0%
m425
10.0%
a425
10.0%
p340
 
8.0%
s340
 
8.0%
i340
 
8.0%
o255
 
6.0%
e255
 
6.0%
u170
 
4.0%
r170
 
4.0%
Other values (8)935
22.0%
Common
ValueCountFrequency (%)
/595
33.4%
.255
14.3%
7112
 
6.3%
2102
 
5.7%
9101
 
5.7%
385
 
4.8%
_85
 
4.8%
:85
 
4.8%
882
 
4.6%
174
 
4.2%
Other values (4)205
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII6031
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t595
 
9.9%
/595
 
9.9%
m425
 
7.0%
a425
 
7.0%
p340
 
5.6%
s340
 
5.6%
i340
 
5.6%
.255
 
4.2%
o255
 
4.2%
e255
 
4.2%
Other values (22)2206
36.6%

_embedded.show.image.original
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct53
Distinct (%)62.4%
Missing6
Missing (%)6.6%
Memory size856.0 B
https://static.tvmaze.com/uploads/images/original_untouched/375/939806.jpg
10 
https://static.tvmaze.com/uploads/images/original_untouched/291/727817.jpg
https://static.tvmaze.com/uploads/images/original_untouched/289/723058.jpg
 
5
https://static.tvmaze.com/uploads/images/original_untouched/290/727385.jpg
 
4
https://static.tvmaze.com/uploads/images/original_untouched/289/723488.jpg
 
2
Other values (48)
56 

Length

Max length75
Median length74
Mean length73.95294118
Min length72

Characters and Unicode

Total characters6286
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)47.1%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/289/722910.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/285/713049.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/287/718741.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/287/718741.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/320/800829.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/375/939806.jpg10
 
11.0%
https://static.tvmaze.com/uploads/images/original_untouched/291/727817.jpg8
 
8.8%
https://static.tvmaze.com/uploads/images/original_untouched/289/723058.jpg5
 
5.5%
https://static.tvmaze.com/uploads/images/original_untouched/290/727385.jpg4
 
4.4%
https://static.tvmaze.com/uploads/images/original_untouched/289/723488.jpg2
 
2.2%
https://static.tvmaze.com/uploads/images/original_untouched/291/729461.jpg2
 
2.2%
https://static.tvmaze.com/uploads/images/original_untouched/285/713040.jpg2
 
2.2%
https://static.tvmaze.com/uploads/images/original_untouched/350/877136.jpg2
 
2.2%
https://static.tvmaze.com/uploads/images/original_untouched/51/129595.jpg2
 
2.2%
https://static.tvmaze.com/uploads/images/original_untouched/292/731984.jpg2
 
2.2%
Other values (43)46
50.5%
(Missing)6
 
6.6%

Length

2022-09-04T23:46:59.182196image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/375/939806.jpg10
 
11.8%
https://static.tvmaze.com/uploads/images/original_untouched/291/727817.jpg8
 
9.4%
https://static.tvmaze.com/uploads/images/original_untouched/289/723058.jpg5
 
5.9%
https://static.tvmaze.com/uploads/images/original_untouched/290/727385.jpg4
 
4.7%
https://static.tvmaze.com/uploads/images/original_untouched/51/129595.jpg2
 
2.4%
https://static.tvmaze.com/uploads/images/original_untouched/291/729467.jpg2
 
2.4%
https://static.tvmaze.com/uploads/images/original_untouched/189/473411.jpg2
 
2.4%
https://static.tvmaze.com/uploads/images/original_untouched/292/731984.jpg2
 
2.4%
https://static.tvmaze.com/uploads/images/original_untouched/287/718741.jpg2
 
2.4%
https://static.tvmaze.com/uploads/images/original_untouched/350/877136.jpg2
 
2.4%
Other values (43)46
54.1%

Most occurring characters

ValueCountFrequency (%)
/595
 
9.5%
t510
 
8.1%
a425
 
6.8%
s340
 
5.4%
i340
 
5.4%
o340
 
5.4%
p255
 
4.1%
c255
 
4.1%
.255
 
4.1%
g255
 
4.1%
Other values (23)2716
43.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter4505
71.7%
Other Punctuation935
 
14.9%
Decimal Number761
 
12.1%
Connector Punctuation85
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t510
 
11.3%
a425
 
9.4%
s340
 
7.5%
i340
 
7.5%
o340
 
7.5%
p255
 
5.7%
c255
 
5.7%
g255
 
5.7%
m255
 
5.7%
e255
 
5.7%
Other values (9)1275
28.3%
Decimal Number
ValueCountFrequency (%)
7112
14.7%
2102
13.4%
9101
13.3%
385
11.2%
882
10.8%
174
9.7%
557
7.5%
056
7.4%
450
6.6%
642
 
5.5%
Other Punctuation
ValueCountFrequency (%)
/595
63.6%
.255
27.3%
:85
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin4505
71.7%
Common1781
 
28.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t510
 
11.3%
a425
 
9.4%
s340
 
7.5%
i340
 
7.5%
o340
 
7.5%
p255
 
5.7%
c255
 
5.7%
g255
 
5.7%
m255
 
5.7%
e255
 
5.7%
Other values (9)1275
28.3%
Common
ValueCountFrequency (%)
/595
33.4%
.255
14.3%
7112
 
6.3%
2102
 
5.7%
9101
 
5.7%
:85
 
4.8%
_85
 
4.8%
385
 
4.8%
882
 
4.6%
174
 
4.2%
Other values (4)205
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII6286
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/595
 
9.5%
t510
 
8.1%
a425
 
6.8%
s340
 
5.4%
i340
 
5.4%
o340
 
5.4%
p255
 
4.1%
c255
 
4.1%
.255
 
4.1%
g255
 
4.1%
Other values (23)2716
43.2%

_embedded.show.summary
Categorical

HIGH CORRELATION
MISSING

Distinct50
Distinct (%)62.5%
Missing11
Missing (%)12.1%
Memory size856.0 B
<p><b>The Real Housewives of Jersey</b> will see some of the island's most fabulous Housewives embrace all the island has to offer – from tranquil beaches, to the most glamourous parties. The series will give viewers a unique insight into the lifestyles of Jersey's biggest characters and promises to bring fun, laughter and, of course, plenty of glitz. Filming started this month. </p>
10 
<p>Ke Ying is a talented economics lecturer who is forced to help psychopath Feng Xiao Sheng gain real power within his corporation. The street smart Xiao Wu is a police informant, and when he discovers Fu's company is laundering money with foreign bank accounts, he uses his position as Feng Xiao Sheng's right-hand man to collect evidence. He befriends Ke Ying, and the two work together to destroy the criminal organization.</p>
<p><b>NikkieTutorials: Layers of Me</b> giving fans a peek behind the curtain of Dutch born beauty mogul Nikkie de Jager's private life. The series was filmed over the last 2.5 years, following Nikkie through the biggest moments of her off-camera career and opening up about the challenges of navigating fame. From talking about the cruel bullying she endured as a child, to experiencing the painful loss of her brother to cancer and learning how to acknowledge her emotions, in this exclusive, intimate series Nikkie shares a behind-the-scenes look at her life with her ever growing audience, culminating with the artist's very public coming out as a transwoman and the events that followed. Beyond the trials and tribulations, the series gives a peek into Nikkie's love life with fiancé, Dylan, along with pivotal moments in her career, such as becoming appointed as Global Artistry Adviser for Marc Jacobs Beauty and collaborating with well-known celebrities.</p>
 
4
<p>The play is set in the turbulent period of the Republic of China in Shanghai. In a turbulent era, the forensic doctor Che Suwei and the gentleman detective Gu Yuan are intertwined with various forces. "Deputy Inspector Kang Yichen, and the innocent and lively reporter Cao Qingluo worked together to crack out a number of weird and curious cases, and restore the truth.</p>
 
4
<p>A story that follows two people's brave pursuit of love from their campus days to their humble beginnings as they enter the workplace to chase after their dreams together.</p>
 
2
Other values (45)
52 

Length

Max length966
Median length591
Mean length418.75
Min length57

Characters and Unicode

Total characters33500
Distinct characters87
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)47.5%

Sample

1st row<p>Marina is in her late 30s, she has a successful business and a close-knit family. Her husband is a surgeon and her daughters study at fancy establishments. To everybody her life seems perfect. Though, it is all just a facade concealing the real problems: her husband has a mistress, her elder daughter is a slacker and drug-dealer, her youngest is a sociopath. Well, Marina herself is not really a flower-lady, but a brothel-keeper who is hiding her dark business from everyone. The truth may come out when a girl of Marina's is found dead.</p>
2nd row<p>This is not an interview, this is a confession. Revelations of the artist in the form of a monologue. The guest's opinion may not coincide with the opinion of the PREMIER platform editorial board.</p>
3rd row<p>At the end of the calendar 2020, the continent of Stern, which has reached the end of civilization due to the exhaustion of magic elements, ushered in the destruction of the continent under the void storm. Ye Xuan, the last god of law in the mainland, unexpectedly awakened in the era of the prosperous magic civilization three thousand years ago and became an ordinary student at the Sith Magic Academy on the border of the Kingdom of Orlando in the northwest of the mainland. In order to save the mainland and prevent the end from coming, Ye Xuan began to explore the mystery of the dark turmoil that led to the depletion of magical elements in the mainland three thousand years ago, to prevent the mainland crisis.</p>
4th row<p>Initially a series of behind-the-scenes vlogs, <b>Going Seventeen</b> has taken a more structured route since mid-2019 and is now a reality-variety show with themed episodes. Every week, the members of Seventeen play games or participate in a variety of activities for everyone's delight and entertainment. Season 2021's keyword is "Watch What You Say", meaning that anything the members say can and will be turned into content...</p>
5th row<p>The series is a fantasy comic web drama that tells a story of three students, who were studying in Seowon during the Joseon period accidently time travel and arrive at present-day Seowon in 2020.</p>

Common Values

ValueCountFrequency (%)
<p><b>The Real Housewives of Jersey</b> will see some of the island's most fabulous Housewives embrace all the island has to offer – from tranquil beaches, to the most glamourous parties. The series will give viewers a unique insight into the lifestyles of Jersey's biggest characters and promises to bring fun, laughter and, of course, plenty of glitz. Filming started this month. </p>10
 
11.0%
<p>Ke Ying is a talented economics lecturer who is forced to help psychopath Feng Xiao Sheng gain real power within his corporation. The street smart Xiao Wu is a police informant, and when he discovers Fu's company is laundering money with foreign bank accounts, he uses his position as Feng Xiao Sheng's right-hand man to collect evidence. He befriends Ke Ying, and the two work together to destroy the criminal organization.</p>8
 
8.8%
<p><b>NikkieTutorials: Layers of Me</b> giving fans a peek behind the curtain of Dutch born beauty mogul Nikkie de Jager's private life. The series was filmed over the last 2.5 years, following Nikkie through the biggest moments of her off-camera career and opening up about the challenges of navigating fame. From talking about the cruel bullying she endured as a child, to experiencing the painful loss of her brother to cancer and learning how to acknowledge her emotions, in this exclusive, intimate series Nikkie shares a behind-the-scenes look at her life with her ever growing audience, culminating with the artist's very public coming out as a transwoman and the events that followed. Beyond the trials and tribulations, the series gives a peek into Nikkie's love life with fiancé, Dylan, along with pivotal moments in her career, such as becoming appointed as Global Artistry Adviser for Marc Jacobs Beauty and collaborating with well-known celebrities.</p>4
 
4.4%
<p>The play is set in the turbulent period of the Republic of China in Shanghai. In a turbulent era, the forensic doctor Che Suwei and the gentleman detective Gu Yuan are intertwined with various forces. "Deputy Inspector Kang Yichen, and the innocent and lively reporter Cao Qingluo worked together to crack out a number of weird and curious cases, and restore the truth.</p>4
 
4.4%
<p>A story that follows two people's brave pursuit of love from their campus days to their humble beginnings as they enter the workplace to chase after their dreams together.</p>2
 
2.2%
<p>A daring, funny, and brutally honest show that covers politics, entertainment, movies, sports, and pop culture.</p>2
 
2.2%
<p>Welcome to <b>Bablo</b>, the world's best library!</p>2
 
2.2%
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>2
 
2.2%
<p>Set in the 20th century Shanghai, it revolves around two women with different backgrounds and personalities who forge a deep friendship as they support each other through hard times in life. Zhu Suo Suo is born into poverty and is taken in by Jiang Nan Sun's family. From then on, the two women became close friends. After they stepped out into society, Zhu Suo Suo quickly made a name for herself in the workforce with her talents and exemplary performance. Jiang Nan Sun continues to pursue academics, earning a reputation as an intellect. However, the Jiang family later met with trouble and fell into despair. Zhu Suo Suo helps Jiang Nan Sun settle into the workforce, by assisting her with living accommodations and work opportunities. With her hard work and knowledge, Jiang Nan Sun gradually transforms into an outstanding white-collar lady.</p>2
 
2.2%
<p>Lin Luojing enters the XR system due to a technology competition, and time-travels to the Sheng Yuan Dynasty of the game. To return back to reality, she has to find her true love and max the "favorability points". In the midst of exchanging tactics with arrogant prince Zhong Wu Mei, her former personal guard Liu Xiu Wen returns to the capital, this time with a new identity as the Persian Prince. Liu Xiu Wen vows to wage war on Zhong Wuyan. Facing both internal and external crises and conflicts, how will Lin Luojing resolve it and embark on her journey back home?</p>2
 
2.2%
Other values (40)42
46.2%
(Missing)11
 
12.1%

Length

2022-09-04T23:46:59.281193image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the329
 
5.9%
and195
 
3.5%
of177
 
3.2%
to172
 
3.1%
a153
 
2.8%
is82
 
1.5%
in81
 
1.5%
with79
 
1.4%
her65
 
1.2%
he41
 
0.7%
Other values (1413)4173
75.2%

Most occurring characters

ValueCountFrequency (%)
5450
16.3%
e3206
 
9.6%
t2132
 
6.4%
a1999
 
6.0%
o1953
 
5.8%
n1946
 
5.8%
i1920
 
5.7%
s1704
 
5.1%
r1625
 
4.9%
h1322
 
3.9%
Other values (77)10243
30.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter25537
76.2%
Space Separator5467
 
16.3%
Uppercase Letter992
 
3.0%
Other Punctuation832
 
2.5%
Math Symbol500
 
1.5%
Dash Punctuation88
 
0.3%
Decimal Number67
 
0.2%
Open Punctuation8
 
< 0.1%
Close Punctuation8
 
< 0.1%
Currency Symbol1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e3206
12.6%
t2132
 
8.3%
a1999
 
7.8%
o1953
 
7.6%
n1946
 
7.6%
i1920
 
7.5%
s1704
 
6.7%
r1625
 
6.4%
h1322
 
5.2%
l1037
 
4.1%
Other values (21)6693
26.2%
Uppercase Letter
ValueCountFrequency (%)
S107
 
10.8%
T94
 
9.5%
W67
 
6.8%
Y66
 
6.7%
F61
 
6.1%
H59
 
5.9%
J52
 
5.2%
L44
 
4.4%
X44
 
4.4%
A43
 
4.3%
Other values (16)355
35.8%
Other Punctuation
ValueCountFrequency (%)
,306
36.8%
.261
31.4%
/126
15.1%
'85
 
10.2%
"24
 
2.9%
!11
 
1.3%
:10
 
1.2%
?7
 
0.8%
&1
 
0.1%
;1
 
0.1%
Decimal Number
ValueCountFrequency (%)
019
28.4%
215
22.4%
110
14.9%
37
 
10.4%
56
 
9.0%
95
 
7.5%
72
 
3.0%
61
 
1.5%
41
 
1.5%
81
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
-69
78.4%
11
 
12.5%
8
 
9.1%
Space Separator
ValueCountFrequency (%)
5450
99.7%
 17
 
0.3%
Math Symbol
ValueCountFrequency (%)
>250
50.0%
<250
50.0%
Open Punctuation
ValueCountFrequency (%)
(8
100.0%
Close Punctuation
ValueCountFrequency (%)
)8
100.0%
Currency Symbol
ValueCountFrequency (%)
$1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin26529
79.2%
Common6971
 
20.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e3206
12.1%
t2132
 
8.0%
a1999
 
7.5%
o1953
 
7.4%
n1946
 
7.3%
i1920
 
7.2%
s1704
 
6.4%
r1625
 
6.1%
h1322
 
5.0%
l1037
 
3.9%
Other values (47)7685
29.0%
Common
ValueCountFrequency (%)
5450
78.2%
,306
 
4.4%
.261
 
3.7%
>250
 
3.6%
<250
 
3.6%
/126
 
1.8%
'85
 
1.2%
-69
 
1.0%
"24
 
0.3%
019
 
0.3%
Other values (20)131
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII33456
99.9%
None25
 
0.1%
Punctuation19
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5450
16.3%
e3206
 
9.6%
t2132
 
6.4%
a1999
 
6.0%
o1953
 
5.8%
n1946
 
5.8%
i1920
 
5.7%
s1704
 
5.1%
r1625
 
4.9%
h1322
 
4.0%
Other values (69)10199
30.5%
None
ValueCountFrequency (%)
 17
68.0%
é4
 
16.0%
å1
 
4.0%
ç1
 
4.0%
ı1
 
4.0%
ā1
 
4.0%
Punctuation
ValueCountFrequency (%)
11
57.9%
8
42.1%

_embedded.show.updated
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct56
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1643043275
Minimum1609535141
Maximum1662346277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size856.0 B
2022-09-04T23:46:59.385140image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1609535141
5-th percentile1611085567
Q11636226698
median1651570316
Q31654976252
95-th percentile1661714577
Maximum1662346277
Range52811136
Interquartile range (IQR)18749554

Descriptive statistics

Standard deviation17705899.07
Coefficient of variation (CV)0.01077628285
Kurtosis-0.6260045297
Mean1643043275
Median Absolute Deviation (MAD)8691570
Skewness-0.9306524131
Sum1.49516938 × 1011
Variance3.134988619 × 1014
MonotonicityNot monotonic
2022-09-04T23:46:59.486412image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
165386712010
 
11.0%
16549762528
 
8.8%
16115389485
 
5.5%
16549760864
 
4.4%
16110855674
 
4.4%
16549766662
 
2.2%
16481900582
 
2.2%
16404355312
 
2.2%
16154510692
 
2.2%
16543820712
 
2.2%
Other values (46)50
54.9%
ValueCountFrequency (%)
16095351412
 
2.2%
16101108411
 
1.1%
16110855674
4.4%
16115389485
5.5%
16117257131
 
1.1%
16124781452
 
2.2%
16129809601
 
1.1%
16130883481
 
1.1%
16154510692
 
2.2%
16260279281
 
1.1%
ValueCountFrequency (%)
16623462771
1.1%
16621306411
1.1%
16620480541
1.1%
16620301001
1.1%
16617968871
1.1%
16616322671
1.1%
16613587701
1.1%
16611783501
1.1%
16607584791
1.1%
16602678031
1.1%

_embedded.show._links.self.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct56
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Memory size856.0 B
https://api.tvmaze.com/shows/49784
10 
https://api.tvmaze.com/shows/52685
https://api.tvmaze.com/shows/52479
 
5
https://api.tvmaze.com/shows/52655
 
4
https://api.tvmaze.com/shows/52564
 
4
Other values (51)
60 

Length

Max length34
Median length34
Mean length33.93406593
Min length32

Characters and Unicode

Total characters3088
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)46.2%

Sample

1st rowhttps://api.tvmaze.com/shows/39115
2nd rowhttps://api.tvmaze.com/shows/48683
3rd rowhttps://api.tvmaze.com/shows/52181
4th rowhttps://api.tvmaze.com/shows/52181
5th rowhttps://api.tvmaze.com/shows/54541

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/shows/4978410
 
11.0%
https://api.tvmaze.com/shows/526858
 
8.8%
https://api.tvmaze.com/shows/524795
 
5.5%
https://api.tvmaze.com/shows/526554
 
4.4%
https://api.tvmaze.com/shows/525644
 
4.4%
https://api.tvmaze.com/shows/529362
 
2.2%
https://api.tvmaze.com/shows/152502
 
2.2%
https://api.tvmaze.com/shows/521812
 
2.2%
https://api.tvmaze.com/shows/527812
 
2.2%
https://api.tvmaze.com/shows/414902
 
2.2%
Other values (46)50
54.9%

Length

2022-09-04T23:46:59.575411image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/shows/4978410
 
11.0%
https://api.tvmaze.com/shows/526858
 
8.8%
https://api.tvmaze.com/shows/524795
 
5.5%
https://api.tvmaze.com/shows/526554
 
4.4%
https://api.tvmaze.com/shows/525644
 
4.4%
https://api.tvmaze.com/shows/414902
 
2.2%
https://api.tvmaze.com/shows/521042
 
2.2%
https://api.tvmaze.com/shows/570292
 
2.2%
https://api.tvmaze.com/shows/527842
 
2.2%
https://api.tvmaze.com/shows/525242
 
2.2%
Other values (46)50
54.9%

Most occurring characters

ValueCountFrequency (%)
/364
 
11.8%
s273
 
8.8%
t273
 
8.8%
h182
 
5.9%
p182
 
5.9%
a182
 
5.9%
.182
 
5.9%
o182
 
5.9%
m182
 
5.9%
598
 
3.2%
Other values (16)988
32.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2002
64.8%
Other Punctuation637
 
20.6%
Decimal Number449
 
14.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s273
13.6%
t273
13.6%
h182
9.1%
p182
9.1%
a182
9.1%
o182
9.1%
m182
9.1%
e91
 
4.5%
w91
 
4.5%
c91
 
4.5%
Other values (3)273
13.6%
Decimal Number
ValueCountFrequency (%)
598
21.8%
466
14.7%
258
12.9%
645
10.0%
841
9.1%
935
 
7.8%
733
 
7.3%
132
 
7.1%
023
 
5.1%
318
 
4.0%
Other Punctuation
ValueCountFrequency (%)
/364
57.1%
.182
28.6%
:91
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin2002
64.8%
Common1086
35.2%

Most frequent character per script

Common
ValueCountFrequency (%)
/364
33.5%
.182
16.8%
598
 
9.0%
:91
 
8.4%
466
 
6.1%
258
 
5.3%
645
 
4.1%
841
 
3.8%
935
 
3.2%
733
 
3.0%
Other values (3)73
 
6.7%
Latin
ValueCountFrequency (%)
s273
13.6%
t273
13.6%
h182
9.1%
p182
9.1%
a182
9.1%
o182
9.1%
m182
9.1%
e91
 
4.5%
w91
 
4.5%
c91
 
4.5%
Other values (3)273
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII3088
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/364
 
11.8%
s273
 
8.8%
t273
 
8.8%
h182
 
5.9%
p182
 
5.9%
a182
 
5.9%
.182
 
5.9%
o182
 
5.9%
m182
 
5.9%
598
 
3.2%
Other values (16)988
32.0%

_embedded.show._links.previousepisode.href
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct56
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Memory size856.0 B
https://api.tvmaze.com/episodes/2266605
10 
https://api.tvmaze.com/episodes/2118097
https://api.tvmaze.com/episodes/1987350
 
5
https://api.tvmaze.com/episodes/2340036
 
4
https://api.tvmaze.com/episodes/2012658
 
4
Other values (51)
60 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters3549
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)46.2%

Sample

1st rowhttps://api.tvmaze.com/episodes/1977905
2nd rowhttps://api.tvmaze.com/episodes/2383519
3rd rowhttps://api.tvmaze.com/episodes/1982412
4th rowhttps://api.tvmaze.com/episodes/1982412
5th rowhttps://api.tvmaze.com/episodes/2261133

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/226660510
 
11.0%
https://api.tvmaze.com/episodes/21180978
 
8.8%
https://api.tvmaze.com/episodes/19873505
 
5.5%
https://api.tvmaze.com/episodes/23400364
 
4.4%
https://api.tvmaze.com/episodes/20126584
 
4.4%
https://api.tvmaze.com/episodes/20077242
 
2.2%
https://api.tvmaze.com/episodes/23012762
 
2.2%
https://api.tvmaze.com/episodes/19824122
 
2.2%
https://api.tvmaze.com/episodes/19985642
 
2.2%
https://api.tvmaze.com/episodes/23244402
 
2.2%
Other values (46)50
54.9%

Length

2022-09-04T23:46:59.647411image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/226660510
 
11.0%
https://api.tvmaze.com/episodes/21180978
 
8.8%
https://api.tvmaze.com/episodes/19873505
 
5.5%
https://api.tvmaze.com/episodes/23400364
 
4.4%
https://api.tvmaze.com/episodes/20126584
 
4.4%
https://api.tvmaze.com/episodes/23244402
 
2.2%
https://api.tvmaze.com/episodes/19760542
 
2.2%
https://api.tvmaze.com/episodes/21538672
 
2.2%
https://api.tvmaze.com/episodes/19986262
 
2.2%
https://api.tvmaze.com/episodes/19880792
 
2.2%
Other values (46)50
54.9%

Most occurring characters

ValueCountFrequency (%)
/364
 
10.3%
t273
 
7.7%
p273
 
7.7%
s273
 
7.7%
e273
 
7.7%
a182
 
5.1%
i182
 
5.1%
.182
 
5.1%
m182
 
5.1%
o182
 
5.1%
Other values (16)1183
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2275
64.1%
Other Punctuation637
 
17.9%
Decimal Number637
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t273
12.0%
p273
12.0%
s273
12.0%
e273
12.0%
a182
8.0%
i182
8.0%
m182
8.0%
o182
8.0%
h91
 
4.0%
d91
 
4.0%
Other values (3)273
12.0%
Decimal Number
ValueCountFrequency (%)
2125
19.6%
170
11.0%
069
10.8%
668
10.7%
959
9.3%
354
8.5%
752
8.2%
849
 
7.7%
548
 
7.5%
443
 
6.8%
Other Punctuation
ValueCountFrequency (%)
/364
57.1%
.182
28.6%
:91
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin2275
64.1%
Common1274
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/364
28.6%
.182
14.3%
2125
 
9.8%
:91
 
7.1%
170
 
5.5%
069
 
5.4%
668
 
5.3%
959
 
4.6%
354
 
4.2%
752
 
4.1%
Other values (3)140
 
11.0%
Latin
ValueCountFrequency (%)
t273
12.0%
p273
12.0%
s273
12.0%
e273
12.0%
a182
8.0%
i182
8.0%
m182
8.0%
o182
8.0%
h91
 
4.0%
d91
 
4.0%
Other values (3)273
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII3549
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/364
 
10.3%
t273
 
7.7%
p273
 
7.7%
s273
 
7.7%
e273
 
7.7%
a182
 
5.1%
i182
 
5.1%
.182
 
5.1%
m182
 
5.1%
o182
 
5.1%
Other values (16)1183
33.3%

image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing91
Missing (%)100.0%
Memory size856.0 B

_embedded.show._links.nextepisode.href
Categorical

HIGH CORRELATION
MISSING
UNIFORM

Distinct7
Distinct (%)100.0%
Missing84
Missing (%)92.3%
Memory size856.0 B
https://api.tvmaze.com/episodes/2383577
https://api.tvmaze.com/episodes/2381297
https://api.tvmaze.com/episodes/2375174
https://api.tvmaze.com/episodes/2350915
https://api.tvmaze.com/episodes/2379702
Other values (2)

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters273
Distinct characters25
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/2383577
2nd rowhttps://api.tvmaze.com/episodes/2381297
3rd rowhttps://api.tvmaze.com/episodes/2375174
4th rowhttps://api.tvmaze.com/episodes/2350915
5th rowhttps://api.tvmaze.com/episodes/2379702

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/23835771
 
1.1%
https://api.tvmaze.com/episodes/23812971
 
1.1%
https://api.tvmaze.com/episodes/23751741
 
1.1%
https://api.tvmaze.com/episodes/23509151
 
1.1%
https://api.tvmaze.com/episodes/23797021
 
1.1%
https://api.tvmaze.com/episodes/23488421
 
1.1%
https://api.tvmaze.com/episodes/23802811
 
1.1%
(Missing)84
92.3%

Length

2022-09-04T23:46:59.715411image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:46:59.923422image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/23835771
14.3%
https://api.tvmaze.com/episodes/23812971
14.3%
https://api.tvmaze.com/episodes/23751741
14.3%
https://api.tvmaze.com/episodes/23509151
14.3%
https://api.tvmaze.com/episodes/23797021
14.3%
https://api.tvmaze.com/episodes/23488421
14.3%
https://api.tvmaze.com/episodes/23802811
14.3%

Most occurring characters

ValueCountFrequency (%)
/28
 
10.3%
e21
 
7.7%
p21
 
7.7%
s21
 
7.7%
t21
 
7.7%
o14
 
5.1%
a14
 
5.1%
i14
 
5.1%
.14
 
5.1%
m14
 
5.1%
Other values (15)91
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter175
64.1%
Other Punctuation49
 
17.9%
Decimal Number49
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e21
12.0%
p21
12.0%
s21
12.0%
t21
12.0%
o14
8.0%
a14
8.0%
i14
8.0%
m14
8.0%
d7
 
4.0%
h7
 
4.0%
Other values (3)21
12.0%
Decimal Number
ValueCountFrequency (%)
211
22.4%
38
16.3%
77
14.3%
86
12.2%
54
 
8.2%
14
 
8.2%
93
 
6.1%
43
 
6.1%
03
 
6.1%
Other Punctuation
ValueCountFrequency (%)
/28
57.1%
.14
28.6%
:7
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin175
64.1%
Common98
35.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e21
12.0%
p21
12.0%
s21
12.0%
t21
12.0%
o14
8.0%
a14
8.0%
i14
8.0%
m14
8.0%
d7
 
4.0%
h7
 
4.0%
Other values (3)21
12.0%
Common
ValueCountFrequency (%)
/28
28.6%
.14
14.3%
211
 
11.2%
38
 
8.2%
77
 
7.1%
:7
 
7.1%
86
 
6.1%
54
 
4.1%
14
 
4.1%
93
 
3.1%
Other values (2)6
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII273
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/28
 
10.3%
e21
 
7.7%
p21
 
7.7%
s21
 
7.7%
t21
 
7.7%
o14
 
5.1%
a14
 
5.1%
i14
 
5.1%
.14
 
5.1%
m14
 
5.1%
Other values (15)91
33.3%

_embedded.show.webChannel.country
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing91
Missing (%)100.0%
Memory size856.0 B

_embedded.show.image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing91
Missing (%)100.0%
Memory size856.0 B

_embedded.show.network.id
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct4
Distinct (%)30.8%
Missing78
Missing (%)85.7%
Memory size856.0 B
551.0
10 
755.0
 
1
112.0
 
1
30.0
 
1

Length

Max length5
Median length5
Mean length4.923076923
Min length4

Characters and Unicode

Total characters64
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)23.1%

Sample

1st row755.0
2nd row112.0
3rd row551.0
4th row551.0
5th row551.0

Common Values

ValueCountFrequency (%)
551.010
 
11.0%
755.01
 
1.1%
112.01
 
1.1%
30.01
 
1.1%
(Missing)78
85.7%

Length

2022-09-04T23:47:00.042034image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:47:00.115094image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
551.010
76.9%
755.01
 
7.7%
112.01
 
7.7%
30.01
 
7.7%

Most occurring characters

ValueCountFrequency (%)
522
34.4%
014
21.9%
.13
20.3%
112
18.8%
71
 
1.6%
21
 
1.6%
31
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number51
79.7%
Other Punctuation13
 
20.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
522
43.1%
014
27.5%
112
23.5%
71
 
2.0%
21
 
2.0%
31
 
2.0%
Other Punctuation
ValueCountFrequency (%)
.13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common64
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
522
34.4%
014
21.9%
.13
20.3%
112
18.8%
71
 
1.6%
21
 
1.6%
31
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII64
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
522
34.4%
014
21.9%
.13
20.3%
112
18.8%
71
 
1.6%
21
 
1.6%
31
 
1.6%

_embedded.show.network.name
Categorical

HIGH CORRELATION
MISSING

Distinct4
Distinct (%)30.8%
Missing78
Missing (%)85.7%
Memory size856.0 B
ITV Be
10 
Show TV
 
1
RTL4
 
1
USA Network
 
1

Length

Max length11
Median length6
Mean length6.307692308
Min length4

Characters and Unicode

Total characters82
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)23.1%

Sample

1st rowShow TV
2nd rowRTL4
3rd rowITV Be
4th rowITV Be
5th rowITV Be

Common Values

ValueCountFrequency (%)
ITV Be10
 
11.0%
Show TV1
 
1.1%
RTL41
 
1.1%
USA Network1
 
1.1%
(Missing)78
85.7%

Length

2022-09-04T23:47:00.185164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:47:00.260164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
itv10
40.0%
be10
40.0%
show1
 
4.0%
tv1
 
4.0%
rtl41
 
4.0%
usa1
 
4.0%
network1
 
4.0%

Most occurring characters

ValueCountFrequency (%)
12
14.6%
T12
14.6%
V11
13.4%
e11
13.4%
I10
12.2%
B10
12.2%
o2
 
2.4%
w2
 
2.4%
S2
 
2.4%
h1
 
1.2%
Other values (9)9
11.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter50
61.0%
Lowercase Letter19
 
23.2%
Space Separator12
 
14.6%
Decimal Number1
 
1.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T12
24.0%
V11
22.0%
I10
20.0%
B10
20.0%
S2
 
4.0%
R1
 
2.0%
L1
 
2.0%
U1
 
2.0%
A1
 
2.0%
N1
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
e11
57.9%
o2
 
10.5%
w2
 
10.5%
h1
 
5.3%
t1
 
5.3%
r1
 
5.3%
k1
 
5.3%
Space Separator
ValueCountFrequency (%)
12
100.0%
Decimal Number
ValueCountFrequency (%)
41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin69
84.1%
Common13
 
15.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
T12
17.4%
V11
15.9%
e11
15.9%
I10
14.5%
B10
14.5%
o2
 
2.9%
w2
 
2.9%
S2
 
2.9%
h1
 
1.4%
R1
 
1.4%
Other values (7)7
10.1%
Common
ValueCountFrequency (%)
12
92.3%
41
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII82
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
14.6%
T12
14.6%
V11
13.4%
e11
13.4%
I10
12.2%
B10
12.2%
o2
 
2.4%
w2
 
2.4%
S2
 
2.4%
h1
 
1.2%
Other values (9)9
11.0%

_embedded.show.network.country.name
Categorical

HIGH CORRELATION
MISSING

Distinct4
Distinct (%)30.8%
Missing78
Missing (%)85.7%
Memory size856.0 B
United Kingdom
10 
Turkey
 
1
Netherlands
 
1
United States
 
1

Length

Max length14
Median length14
Mean length13.07692308
Min length6

Characters and Unicode

Total characters170
Distinct characters22
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)23.1%

Sample

1st rowTurkey
2nd rowNetherlands
3rd rowUnited Kingdom
4th rowUnited Kingdom
5th rowUnited Kingdom

Common Values

ValueCountFrequency (%)
United Kingdom10
 
11.0%
Turkey1
 
1.1%
Netherlands1
 
1.1%
United States1
 
1.1%
(Missing)78
85.7%

Length

2022-09-04T23:47:00.332163image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:47:00.409346image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
united11
45.8%
kingdom10
41.7%
turkey1
 
4.2%
netherlands1
 
4.2%
states1
 
4.2%

Most occurring characters

ValueCountFrequency (%)
d22
12.9%
n22
12.9%
i21
12.4%
e15
8.8%
t14
8.2%
U11
6.5%
11
6.5%
K10
5.9%
g10
5.9%
o10
5.9%
Other values (12)24
14.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter135
79.4%
Uppercase Letter24
 
14.1%
Space Separator11
 
6.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
d22
16.3%
n22
16.3%
i21
15.6%
e15
11.1%
t14
10.4%
g10
7.4%
o10
7.4%
m10
7.4%
s2
 
1.5%
r2
 
1.5%
Other values (6)7
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
U11
45.8%
K10
41.7%
T1
 
4.2%
N1
 
4.2%
S1
 
4.2%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin159
93.5%
Common11
 
6.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
d22
13.8%
n22
13.8%
i21
13.2%
e15
9.4%
t14
8.8%
U11
6.9%
K10
6.3%
g10
6.3%
o10
6.3%
m10
6.3%
Other values (11)14
8.8%
Common
ValueCountFrequency (%)
11
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII170
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
d22
12.9%
n22
12.9%
i21
12.4%
e15
8.8%
t14
8.2%
U11
6.5%
11
6.5%
K10
5.9%
g10
5.9%
o10
5.9%
Other values (12)24
14.1%

_embedded.show.network.country.code
Categorical

HIGH CORRELATION
MISSING

Distinct4
Distinct (%)30.8%
Missing78
Missing (%)85.7%
Memory size856.0 B
GB
10 
TR
 
1
NL
 
1
US
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters26
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)23.1%

Sample

1st rowTR
2nd rowNL
3rd rowGB
4th rowGB
5th rowGB

Common Values

ValueCountFrequency (%)
GB10
 
11.0%
TR1
 
1.1%
NL1
 
1.1%
US1
 
1.1%
(Missing)78
85.7%

Length

2022-09-04T23:47:00.482347image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:47:00.553583image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
gb10
76.9%
tr1
 
7.7%
nl1
 
7.7%
us1
 
7.7%

Most occurring characters

ValueCountFrequency (%)
G10
38.5%
B10
38.5%
T1
 
3.8%
R1
 
3.8%
N1
 
3.8%
L1
 
3.8%
U1
 
3.8%
S1
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter26
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
G10
38.5%
B10
38.5%
T1
 
3.8%
R1
 
3.8%
N1
 
3.8%
L1
 
3.8%
U1
 
3.8%
S1
 
3.8%

Most occurring scripts

ValueCountFrequency (%)
Latin26
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
G10
38.5%
B10
38.5%
T1
 
3.8%
R1
 
3.8%
N1
 
3.8%
L1
 
3.8%
U1
 
3.8%
S1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII26
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
G10
38.5%
B10
38.5%
T1
 
3.8%
R1
 
3.8%
N1
 
3.8%
L1
 
3.8%
U1
 
3.8%
S1
 
3.8%

_embedded.show.network.country.timezone
Categorical

HIGH CORRELATION
MISSING

Distinct4
Distinct (%)30.8%
Missing78
Missing (%)85.7%
Memory size856.0 B
Europe/London
10 
Europe/Istanbul
 
1
Europe/Amsterdam
 
1
America/New_York
 
1

Length

Max length16
Median length13
Mean length13.61538462
Min length13

Characters and Unicode

Total characters177
Distinct characters25
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)23.1%

Sample

1st rowEurope/Istanbul
2nd rowEurope/Amsterdam
3rd rowEurope/London
4th rowEurope/London
5th rowEurope/London

Common Values

ValueCountFrequency (%)
Europe/London10
 
11.0%
Europe/Istanbul1
 
1.1%
Europe/Amsterdam1
 
1.1%
America/New_York1
 
1.1%
(Missing)78
85.7%

Length

2022-09-04T23:47:00.618853image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-04T23:47:00.692027image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
europe/london10
76.9%
europe/istanbul1
 
7.7%
europe/amsterdam1
 
7.7%
america/new_york1
 
7.7%

Most occurring characters

ValueCountFrequency (%)
o33
18.6%
n21
11.9%
r15
8.5%
e15
8.5%
/13
 
7.3%
u13
 
7.3%
E12
 
6.8%
p12
 
6.8%
d11
 
6.2%
L10
 
5.6%
Other values (15)22
12.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter136
76.8%
Uppercase Letter27
 
15.3%
Other Punctuation13
 
7.3%
Connector Punctuation1
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o33
24.3%
n21
15.4%
r15
11.0%
e15
11.0%
u13
 
9.6%
p12
 
8.8%
d11
 
8.1%
a3
 
2.2%
m3
 
2.2%
t2
 
1.5%
Other values (7)8
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
E12
44.4%
L10
37.0%
A2
 
7.4%
I1
 
3.7%
N1
 
3.7%
Y1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
/13
100.0%
Connector Punctuation
ValueCountFrequency (%)
_1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin163
92.1%
Common14
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o33
20.2%
n21
12.9%
r15
9.2%
e15
9.2%
u13
 
8.0%
E12
 
7.4%
p12
 
7.4%
d11
 
6.7%
L10
 
6.1%
a3
 
1.8%
Other values (13)18
11.0%
Common
ValueCountFrequency (%)
/13
92.9%
_1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII177
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o33
18.6%
n21
11.9%
r15
8.5%
e15
8.5%
/13
 
7.3%
u13
 
7.3%
E12
 
6.8%
p12
 
6.8%
d11
 
6.2%
L10
 
5.6%
Other values (15)22
12.4%

_embedded.show.network.officialSite
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing91
Missing (%)100.0%
Memory size856.0 B

_embedded.show.webChannel
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing91
Missing (%)100.0%
Memory size856.0 B

Interactions

2022-09-04T23:46:50.147427image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:40.790504image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:41.976199image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:42.843333image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:43.832042image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:44.709217image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:45.579380image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:46.583181image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:47.462879image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:48.437397image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:49.290537image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:50.354859image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:41.023329image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:42.066681image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:42.926349image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:43.916045image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:44.796803image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:45.785383image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:46.671187image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:47.542126image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:48.520399image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:49.375792image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:50.435045image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:41.098782image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:42.149756image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:43.000341image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:43.995056image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:44.884422image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:45.859572image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:46.754081image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:47.619127image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:48.595330image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:49.459677image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2022-09-04T23:46:41.278507image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:42.228749image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:43.084601image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2022-09-04T23:46:45.930572image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2022-09-04T23:46:49.541082image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:50.596038image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:41.353659image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:42.306987image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:43.166598image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:44.135972image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:45.054674image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:46.004571image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:46.913232image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:47.769128image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:48.736398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:49.622088image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:50.675310image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:41.430872image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:42.385920image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2022-09-04T23:46:42.456920image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:43.321015image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2022-09-04T23:46:45.212757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2022-09-04T23:46:47.074218image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:48.077406image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:48.899478image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:49.782079image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:50.837234image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:41.606027image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:42.529918image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:43.526718image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:44.366741image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:45.287762image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:46.250499image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:47.154217image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:48.149399image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:48.979524image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:49.855427image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:50.915240image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:41.696299image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:42.596918image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:43.599714image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:44.456948image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:45.362393image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:46.330570image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:47.228485image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:48.215401image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:49.051526image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:49.927427image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:50.985231image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:41.794626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:42.671306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:43.674045image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:44.542207image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:45.434381image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:46.412622image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:47.304720image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:48.286398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:49.131525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:50.001427image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:51.056416image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:41.884439image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:42.762263image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:43.754050image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:44.626292image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:45.507381image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:46.498623image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:47.384720image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:48.360409image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:49.213457image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-09-04T23:46:50.075427image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Correlations

2022-09-04T23:47:00.780957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-09-04T23:47:01.038299image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-09-04T23:47:01.268377image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-09-04T23:47:01.535672image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-09-04T23:46:51.340345image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-09-04T23:46:52.636085image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-09-04T23:46:53.303389image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimesummaryrating.averageimage.mediumimage.original_links.self.href_embedded.show.id_embedded.show.url_embedded.show.name_embedded.show.type_embedded.show.language_embedded.show.genres_embedded.show.status_embedded.show.runtime_embedded.show.averageRuntime_embedded.show.premiered_embedded.show.ended_embedded.show.officialSite_embedded.show.schedule.time_embedded.show.schedule.days_embedded.show.rating.average_embedded.show.weight_embedded.show.network_embedded.show.webChannel.id_embedded.show.webChannel.name_embedded.show.webChannel.country.name_embedded.show.webChannel.country.code_embedded.show.webChannel.country.timezone_embedded.show.webChannel.officialSite_embedded.show.dvdCountry_embedded.show.externals.tvrage_embedded.show.externals.thetvdb_embedded.show.externals.imdb_embedded.show.image.medium_embedded.show.image.original_embedded.show.summary_embedded.show.updated_embedded.show._links.self.href_embedded.show._links.previousepisode.hrefimage_embedded.show._links.nextepisode.href_embedded.show.webChannel.country_embedded.show.image_embedded.show.network.id_embedded.show.network.name_embedded.show.network.country.name_embedded.show.network.country.code_embedded.show.network.country.timezone_embedded.show.network.officialSite_embedded.show.webChannel
01977901https://www.tvmaze.com/episodes/1977901/obycnaa-zensina-2x05-seria-14Серия 1425.0regular2020-12-2810:002020-12-27T22:00:00+00:0046.0NoneNaNhttps://static.tvmaze.com/uploads/images/medium_landscape/291/728564.jpghttps://static.tvmaze.com/uploads/images/original_untouched/291/728564.jpghttps://api.tvmaze.com/episodes/197790139115https://www.tvmaze.com/shows/39115/obycnaa-zensinaОбычная женщинаScriptedRussian[Drama, Crime, Mystery]Ended50.048.02018-10-292021-01-07https://premier.one/show/840522:00[Monday, Tuesday, Wednesday, Thursday]7.740NaN281.0PremierRussian FederationRUAsia/KamchatkaNoneNoneNaN345280.0tt8561620https://static.tvmaze.com/uploads/images/medium_portrait/289/722910.jpghttps://static.tvmaze.com/uploads/images/original_untouched/289/722910.jpg<p>Marina is in her late 30s, she has a successful business and a close-knit family. Her husband is a surgeon and her daughters study at fancy establishments. To everybody her life seems perfect. Though, it is all just a facade concealing the real problems: her husband has a mistress, her elder daughter is a slacker and drug-dealer, her youngest is a sociopath. Well, Marina herself is not really a flower-lady, but a brothel-keeper who is hiding her dark business from everyone. The truth may come out when a girl of Marina's is found dead.</p>1610110841https://api.tvmaze.com/shows/39115https://api.tvmaze.com/episodes/1977905NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
12164196https://www.tvmaze.com/episodes/2164196/ispoved-1x10-aem-tillmariАэм Тиллмари110.0regular2020-12-2812:002020-12-28T00:00:00+00:0048.0NoneNaNNaNNaNhttps://api.tvmaze.com/episodes/216419648683https://www.tvmaze.com/shows/48683/ispovedИсповедьDocumentaryRussian[]Ended48.047.02020-05-112022-08-30https://premier.one/collections/13412:00[Monday]NaN36NaN281.0PremierRussian FederationRUAsia/KamchatkaNoneNoneNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/285/713049.jpghttps://static.tvmaze.com/uploads/images/original_untouched/285/713049.jpg<p>This is not an interview, this is a confession. Revelations of the artist in the form of a monologue. The guest's opinion may not coincide with the opinion of the PREMIER platform editorial board.</p>1662030100https://api.tvmaze.com/shows/48683https://api.tvmaze.com/episodes/2383519NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
21982411https://www.tvmaze.com/episodes/1982411/volk-1x13-seria-13Серия 13113.0regular2020-12-282020-12-28T00:00:00+00:0051.0NoneNaNNaNNaNhttps://api.tvmaze.com/episodes/198241152181https://www.tvmaze.com/shows/52181/volkВолкScriptedRussian[Drama, Adventure, Mystery]Ended51.050.02020-12-072020-12-28https://premier.one/show/12339[Monday, Thursday]NaN23NaN281.0PremierRussian FederationRUAsia/KamchatkaNoneNoneNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/287/718741.jpghttps://static.tvmaze.com/uploads/images/original_untouched/287/718741.jpgNone1640435531https://api.tvmaze.com/shows/52181https://api.tvmaze.com/episodes/1982412NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
31982412https://www.tvmaze.com/episodes/1982412/volk-1x14-seria-14Серия 14114.0regular2020-12-282020-12-28T00:00:00+00:0051.0NoneNaNNaNNaNhttps://api.tvmaze.com/episodes/198241252181https://www.tvmaze.com/shows/52181/volkВолкScriptedRussian[Drama, Adventure, Mystery]Ended51.050.02020-12-072020-12-28https://premier.one/show/12339[Monday, Thursday]NaN23NaN281.0PremierRussian FederationRUAsia/KamchatkaNoneNoneNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/287/718741.jpghttps://static.tvmaze.com/uploads/images/original_untouched/287/718741.jpgNone1640435531https://api.tvmaze.com/shows/52181https://api.tvmaze.com/episodes/1982412NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
42062930https://www.tvmaze.com/episodes/2062930/god-of-ten-thousand-realms-1x05-episode-5Episode 515.0regular2020-12-2810:002020-12-28T02:00:00+00:007.0NoneNaNNaNNaNhttps://api.tvmaze.com/episodes/206293054541https://www.tvmaze.com/shows/54541/god-of-ten-thousand-realmsGod of Ten Thousand RealmsAnimationChinese[Adventure, Anime, Fantasy]Running7.07.02020-12-21Nonehttps://v.qq.com/detail/m/mzc002007995z4v.html10:00[Monday, Friday]NaN54NaN104.0Tencent QQChinaCNAsia/Shanghaihttps://v.qq.com/NoneNaN394467.0Nonehttps://static.tvmaze.com/uploads/images/medium_portrait/320/800829.jpghttps://static.tvmaze.com/uploads/images/original_untouched/320/800829.jpg<p>At the end of the calendar 2020, the continent of Stern, which has reached the end of civilization due to the exhaustion of magic elements, ushered in the destruction of the continent under the void storm. Ye Xuan, the last god of law in the mainland, unexpectedly awakened in the era of the prosperous magic civilization three thousand years ago and became an ordinary student at the Sith Magic Academy on the border of the Kingdom of Orlando in the northwest of the mainland. In order to save the mainland and prevent the end from coming, Ye Xuan began to explore the mystery of the dark turmoil that led to the depletion of magical elements in the mainland three thousand years ago, to prevent the mainland crisis.</p>1642689319https://api.tvmaze.com/shows/54541https://api.tvmaze.com/episodes/2261133NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
52140389https://www.tvmaze.com/episodes/2140389/going-seventeen-2020-12-28-ttt-1-hyperrealism-verTTT #1 (Hyperrealism Ver.)202044.0regular2020-12-282020-12-28T03:00:00+00:0030.0NoneNaNNaNNaNhttps://api.tvmaze.com/episodes/214038956655https://www.tvmaze.com/shows/56655/going-seventeenGoing SeventeenVarietyKorean[]Running30.030.02017-06-12NoneNone08:00[Wednesday]NaN69NaN122.0V LIVEKorea, Republic ofKRAsia/Seoulhttps://www.vlive.tv/homeNoneNaN330462.0Nonehttps://static.tvmaze.com/uploads/images/medium_portrait/394/985825.jpghttps://static.tvmaze.com/uploads/images/original_untouched/394/985825.jpg<p>Initially a series of behind-the-scenes vlogs, <b>Going Seventeen</b> has taken a more structured route since mid-2019 and is now a reality-variety show with themed episodes. Every week, the members of Seventeen play games or participate in a variety of activities for everyone's delight and entertainment. Season 2021's keyword is "Watch What You Say", meaning that anything the members say can and will be turned into content...</p>1662048054https://api.tvmaze.com/shows/56655https://api.tvmaze.com/episodes/2383576NaNhttps://api.tvmaze.com/episodes/2383577NaNNaNNaNNaNNaNNaNNaNNaNNaN
62353919https://www.tvmaze.com/episodes/2353919/300-year-old-class-of-2020-1x06-episode-6Episode 616.0regular2020-12-282020-12-28T03:00:00+00:0016.0NoneNaNNaNNaNhttps://api.tvmaze.com/episodes/235391962764https://www.tvmaze.com/shows/62764/300-year-old-class-of-2020300 Year-Old Class of 2020ScriptedKorean[Comedy, Fantasy, History]EndedNaN15.02020-12-212020-12-28None[Monday]NaN44NaN30.0Naver TVCastKorea, Republic ofKRAsia/Seoulhttps://tv.naver.com/NoneNaN410187.0tt14125832https://static.tvmaze.com/uploads/images/medium_portrait/414/1035476.jpghttps://static.tvmaze.com/uploads/images/original_untouched/414/1035476.jpg<p>The series is a fantasy comic web drama that tells a story of three students, who were studying in Seowon during the Joseon period accidently time travel and arrive at present-day Seowon in 2020.</p>1656357007https://api.tvmaze.com/shows/62764https://api.tvmaze.com/episodes/2353919NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
72324421https://www.tvmaze.com/episodes/2324421/unique-lady-2x09-episode-9Episode 929.0regular2020-12-2812:002020-12-28T04:00:00+00:0040.0NoneNaNNaNNaNhttps://api.tvmaze.com/episodes/232442141490https://www.tvmaze.com/shows/41490/unique-ladyUnique LadyScriptedChinese[Drama, Comedy, Romance]Ended38.042.02019-01-172021-01-07http://www.iqiyi.com/a_19rrhvpyyp.html[Thursday, Friday, Saturday]NaN35NaN67.0iQIYINaNNaNNaNhttps://www.iq.com/NoneNaN360222.0tt11939550https://static.tvmaze.com/uploads/images/medium_portrait/189/473411.jpghttps://static.tvmaze.com/uploads/images/original_untouched/189/473411.jpg<p>Lin Luo Jing accidentally gets drawn into a game world where she is the daughter of the prime minister and meets all kind of beautiful men with different personalities. Among them are a sword deity, an imperial bodyguard, a playful rich man and an arrogant prince. The system informs her that she can only return to the real world after she finds her true love. While there seems tobe an abundance of good men around Luo Jing, there is one man she can't stand at all: the prince of the barbarian Yuan Kingdom Zhong Wu Mei. But out of all men, she ends up in an arranged marriage with Wu Mei.</p><p>Thus begins their love-hate relationship and her journey to find true love in order to win the game.</p>1654382071https://api.tvmaze.com/shows/41490https://api.tvmaze.com/episodes/2324440NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
82324422https://www.tvmaze.com/episodes/2324422/unique-lady-2x10-episode-10Episode 10210.0regular2020-12-2812:002020-12-28T04:00:00+00:0040.0NoneNaNNaNNaNhttps://api.tvmaze.com/episodes/232442241490https://www.tvmaze.com/shows/41490/unique-ladyUnique LadyScriptedChinese[Drama, Comedy, Romance]Ended38.042.02019-01-172021-01-07http://www.iqiyi.com/a_19rrhvpyyp.html[Thursday, Friday, Saturday]NaN35NaN67.0iQIYINaNNaNNaNhttps://www.iq.com/NoneNaN360222.0tt11939550https://static.tvmaze.com/uploads/images/medium_portrait/189/473411.jpghttps://static.tvmaze.com/uploads/images/original_untouched/189/473411.jpg<p>Lin Luo Jing accidentally gets drawn into a game world where she is the daughter of the prime minister and meets all kind of beautiful men with different personalities. Among them are a sword deity, an imperial bodyguard, a playful rich man and an arrogant prince. The system informs her that she can only return to the real world after she finds her true love. While there seems tobe an abundance of good men around Luo Jing, there is one man she can't stand at all: the prince of the barbarian Yuan Kingdom Zhong Wu Mei. But out of all men, she ends up in an arranged marriage with Wu Mei.</p><p>Thus begins their love-hate relationship and her journey to find true love in order to win the game.</p>1654382071https://api.tvmaze.com/shows/41490https://api.tvmaze.com/episodes/2324440NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
91998598https://www.tvmaze.com/episodes/1998598/unique-lady-2-1x09-episode-9Episode 919.0regular2020-12-282020-12-28T04:00:00+00:0045.0NoneNaNNaNNaNhttps://api.tvmaze.com/episodes/199859852784https://www.tvmaze.com/shows/52784/unique-lady-2Unique Lady 2ScriptedChinese[Comedy, Fantasy, Romance]Ended45.045.02020-12-242021-01-07None[Monday, Tuesday, Wednesday, Thursday, Friday]NaN20NaN118.0YoukuChinaCNAsia/ShanghaiNoneNoneNaNNaNNonehttps://static.tvmaze.com/uploads/images/medium_portrait/291/729467.jpghttps://static.tvmaze.com/uploads/images/original_untouched/291/729467.jpg<p>Lin Luojing enters the XR system due to a technology competition, and time-travels to the Sheng Yuan Dynasty of the game. To return back to reality, she has to find her true love and max the "favorability points". In the midst of exchanging tactics with arrogant prince Zhong Wu Mei, her former personal guard Liu Xiu Wen returns to the capital, this time with a new identity as the Persian Prince. Liu Xiu Wen vows to wage war on Zhong Wuyan. Facing both internal and external crises and conflicts, how will Lin Luojing resolve it and embark on her journey back home?</p>1660261886https://api.tvmaze.com/shows/52784https://api.tvmaze.com/episodes/1998626NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN

Last rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimesummaryrating.averageimage.mediumimage.original_links.self.href_embedded.show.id_embedded.show.url_embedded.show.name_embedded.show.type_embedded.show.language_embedded.show.genres_embedded.show.status_embedded.show.runtime_embedded.show.averageRuntime_embedded.show.premiered_embedded.show.ended_embedded.show.officialSite_embedded.show.schedule.time_embedded.show.schedule.days_embedded.show.rating.average_embedded.show.weight_embedded.show.network_embedded.show.webChannel.id_embedded.show.webChannel.name_embedded.show.webChannel.country.name_embedded.show.webChannel.country.code_embedded.show.webChannel.country.timezone_embedded.show.webChannel.officialSite_embedded.show.dvdCountry_embedded.show.externals.tvrage_embedded.show.externals.thetvdb_embedded.show.externals.imdb_embedded.show.image.medium_embedded.show.image.original_embedded.show.summary_embedded.show.updated_embedded.show._links.self.href_embedded.show._links.previousepisode.hrefimage_embedded.show._links.nextepisode.href_embedded.show.webChannel.country_embedded.show.image_embedded.show.network.id_embedded.show.network.name_embedded.show.network.country.name_embedded.show.network.country.code_embedded.show.network.country.timezone_embedded.show.network.officialSite_embedded.show.webChannel
811994145https://www.tvmaze.com/episodes/1994145/the-real-housewives-of-jersey-1x04-i-should-cocoI Should Coco14.0regular2020-12-2821:002020-12-28T21:00:00+00:0060.0<p>Margaret hosts Coco Chanel Thompson's fourth birthday party, and the long-awaited meet-up between Kate and Tessa leaves their relationship in a sticky situation.</p>NaNNaNNaNhttps://api.tvmaze.com/episodes/199414549784https://www.tvmaze.com/shows/49784/the-real-housewives-of-jerseyThe Real Housewives of JerseyRealityEnglish[]Running60.060.02020-12-28Nonehttps://www.itv.com/hub/the-real-housewives-of-jersey/21:00[Monday]NaN68NaNNaNNaNNaNNaNNaNNaNNoneNaN392932.0tt12926306https://static.tvmaze.com/uploads/images/medium_portrait/375/939806.jpghttps://static.tvmaze.com/uploads/images/original_untouched/375/939806.jpg<p><b>The Real Housewives of Jersey</b> will see some of the island's most fabulous Housewives embrace all the island has to offer – from tranquil beaches, to the most glamourous parties. The series will give viewers a unique insight into the lifestyles of Jersey's biggest characters and promises to bring fun, laughter and, of course, plenty of glitz. Filming started this month. </p>1653867120https://api.tvmaze.com/shows/49784https://api.tvmaze.com/episodes/2266605NaNNaNNaNNaN551.0ITV BeUnited KingdomGBEurope/LondonNaNNaN
821994146https://www.tvmaze.com/episodes/1994146/the-real-housewives-of-jersey-1x05-highcliffe-high-classHighcliffe, High Class15.0regular2020-12-2821:002020-12-28T21:00:00+00:0060.0<p>Tessa has high hopes for the housewives' staycation, but will everyone behave themselves?</p>NaNNaNNaNhttps://api.tvmaze.com/episodes/199414649784https://www.tvmaze.com/shows/49784/the-real-housewives-of-jerseyThe Real Housewives of JerseyRealityEnglish[]Running60.060.02020-12-28Nonehttps://www.itv.com/hub/the-real-housewives-of-jersey/21:00[Monday]NaN68NaNNaNNaNNaNNaNNaNNaNNoneNaN392932.0tt12926306https://static.tvmaze.com/uploads/images/medium_portrait/375/939806.jpghttps://static.tvmaze.com/uploads/images/original_untouched/375/939806.jpg<p><b>The Real Housewives of Jersey</b> will see some of the island's most fabulous Housewives embrace all the island has to offer – from tranquil beaches, to the most glamourous parties. The series will give viewers a unique insight into the lifestyles of Jersey's biggest characters and promises to bring fun, laughter and, of course, plenty of glitz. Filming started this month. </p>1653867120https://api.tvmaze.com/shows/49784https://api.tvmaze.com/episodes/2266605NaNNaNNaNNaN551.0ITV BeUnited KingdomGBEurope/LondonNaNNaN
831997350https://www.tvmaze.com/episodes/1997350/the-real-housewives-of-jersey-1x06-a-grave-concernA Grave Concern16.0regular2020-12-2821:002020-12-28T21:00:00+00:0060.0<p>With the Staycation in full flow, the Housewives bond over a game of Truth or Dare, and Margaret's pulse is left racing by a surprise guest.</p>NaNNaNNaNhttps://api.tvmaze.com/episodes/199735049784https://www.tvmaze.com/shows/49784/the-real-housewives-of-jerseyThe Real Housewives of JerseyRealityEnglish[]Running60.060.02020-12-28Nonehttps://www.itv.com/hub/the-real-housewives-of-jersey/21:00[Monday]NaN68NaNNaNNaNNaNNaNNaNNaNNoneNaN392932.0tt12926306https://static.tvmaze.com/uploads/images/medium_portrait/375/939806.jpghttps://static.tvmaze.com/uploads/images/original_untouched/375/939806.jpg<p><b>The Real Housewives of Jersey</b> will see some of the island's most fabulous Housewives embrace all the island has to offer – from tranquil beaches, to the most glamourous parties. The series will give viewers a unique insight into the lifestyles of Jersey's biggest characters and promises to bring fun, laughter and, of course, plenty of glitz. Filming started this month. </p>1653867120https://api.tvmaze.com/shows/49784https://api.tvmaze.com/episodes/2266605NaNNaNNaNNaN551.0ITV BeUnited KingdomGBEurope/LondonNaNNaN
841997351https://www.tvmaze.com/episodes/1997351/the-real-housewives-of-jersey-1x07-ladies-who-launchLadies Who Launch17.0regular2020-12-2821:002020-12-28T21:00:00+00:0060.0<p>Mia questions her relationships with some of the women following the disastrous dinner party, while Kate and Margaret regret not being more outspoken.</p>NaNNaNNaNhttps://api.tvmaze.com/episodes/199735149784https://www.tvmaze.com/shows/49784/the-real-housewives-of-jerseyThe Real Housewives of JerseyRealityEnglish[]Running60.060.02020-12-28Nonehttps://www.itv.com/hub/the-real-housewives-of-jersey/21:00[Monday]NaN68NaNNaNNaNNaNNaNNaNNaNNoneNaN392932.0tt12926306https://static.tvmaze.com/uploads/images/medium_portrait/375/939806.jpghttps://static.tvmaze.com/uploads/images/original_untouched/375/939806.jpg<p><b>The Real Housewives of Jersey</b> will see some of the island's most fabulous Housewives embrace all the island has to offer – from tranquil beaches, to the most glamourous parties. The series will give viewers a unique insight into the lifestyles of Jersey's biggest characters and promises to bring fun, laughter and, of course, plenty of glitz. Filming started this month. </p>1653867120https://api.tvmaze.com/shows/49784https://api.tvmaze.com/episodes/2266605NaNNaNNaNNaN551.0ITV BeUnited KingdomGBEurope/LondonNaNNaN
851997352https://www.tvmaze.com/episodes/1997352/the-real-housewives-of-jersey-1x08-fake-orgasm-addictsFake Orgasm Addicts18.0regular2020-12-2821:002020-12-28T21:00:00+00:0060.0<p>Kate's ambition of starting a charity gets off to a rocky start, while Mia's dreams of returning to modelling become a reality. Plus, Tessa celebrates her birthday.</p>NaNNaNNaNhttps://api.tvmaze.com/episodes/199735249784https://www.tvmaze.com/shows/49784/the-real-housewives-of-jerseyThe Real Housewives of JerseyRealityEnglish[]Running60.060.02020-12-28Nonehttps://www.itv.com/hub/the-real-housewives-of-jersey/21:00[Monday]NaN68NaNNaNNaNNaNNaNNaNNaNNoneNaN392932.0tt12926306https://static.tvmaze.com/uploads/images/medium_portrait/375/939806.jpghttps://static.tvmaze.com/uploads/images/original_untouched/375/939806.jpg<p><b>The Real Housewives of Jersey</b> will see some of the island's most fabulous Housewives embrace all the island has to offer – from tranquil beaches, to the most glamourous parties. The series will give viewers a unique insight into the lifestyles of Jersey's biggest characters and promises to bring fun, laughter and, of course, plenty of glitz. Filming started this month. </p>1653867120https://api.tvmaze.com/shows/49784https://api.tvmaze.com/episodes/2266605NaNNaNNaNNaN551.0ITV BeUnited KingdomGBEurope/LondonNaNNaN
861997353https://www.tvmaze.com/episodes/1997353/the-real-housewives-of-jersey-1x09-a-splash-for-ashA Splash for Ash19.0regular2020-12-2821:002020-12-28T21:00:00+00:0060.0<p>The fallout from Tessa and Mia's latest argument leads to a summit to clear the air, whil Ashley's relationship with Jane takes an unexpected twist.</p>NaNNaNNaNhttps://api.tvmaze.com/episodes/199735349784https://www.tvmaze.com/shows/49784/the-real-housewives-of-jerseyThe Real Housewives of JerseyRealityEnglish[]Running60.060.02020-12-28Nonehttps://www.itv.com/hub/the-real-housewives-of-jersey/21:00[Monday]NaN68NaNNaNNaNNaNNaNNaNNaNNoneNaN392932.0tt12926306https://static.tvmaze.com/uploads/images/medium_portrait/375/939806.jpghttps://static.tvmaze.com/uploads/images/original_untouched/375/939806.jpg<p><b>The Real Housewives of Jersey</b> will see some of the island's most fabulous Housewives embrace all the island has to offer – from tranquil beaches, to the most glamourous parties. The series will give viewers a unique insight into the lifestyles of Jersey's biggest characters and promises to bring fun, laughter and, of course, plenty of glitz. Filming started this month. </p>1653867120https://api.tvmaze.com/shows/49784https://api.tvmaze.com/episodes/2266605NaNNaNNaNNaN551.0ITV BeUnited KingdomGBEurope/LondonNaNNaN
871997354https://www.tvmaze.com/episodes/1997354/the-real-housewives-of-jersey-1x10-la-finnLa Finn110.0regular2020-12-2821:002020-12-28T21:00:00+00:0060.0<p>As summer comes to the sun-soaked island of Jersey, the Hartmanns celebrate with...a chalet ski party! Kate focuses her attention on building bridges with Finn.</p>NaNNaNNaNhttps://api.tvmaze.com/episodes/199735449784https://www.tvmaze.com/shows/49784/the-real-housewives-of-jerseyThe Real Housewives of JerseyRealityEnglish[]Running60.060.02020-12-28Nonehttps://www.itv.com/hub/the-real-housewives-of-jersey/21:00[Monday]NaN68NaNNaNNaNNaNNaNNaNNaNNoneNaN392932.0tt12926306https://static.tvmaze.com/uploads/images/medium_portrait/375/939806.jpghttps://static.tvmaze.com/uploads/images/original_untouched/375/939806.jpg<p><b>The Real Housewives of Jersey</b> will see some of the island's most fabulous Housewives embrace all the island has to offer – from tranquil beaches, to the most glamourous parties. The series will give viewers a unique insight into the lifestyles of Jersey's biggest characters and promises to bring fun, laughter and, of course, plenty of glitz. Filming started this month. </p>1653867120https://api.tvmaze.com/shows/49784https://api.tvmaze.com/episodes/2266605NaNNaNNaNNaN551.0ITV BeUnited KingdomGBEurope/LondonNaNNaN
881972714https://www.tvmaze.com/episodes/1972714/wwe-monday-night-raw-27x52-1440-tropicana-field-in-st-petersburg-fl#1440 - Tropicana Field in St. Petersburg, FL2752.0regular2020-12-2820:002020-12-29T01:00:00+00:00180.0None6.5NaNNaNhttps://api.tvmaze.com/episodes/1972714802https://www.tvmaze.com/shows/802/wwe-monday-night-rawWWE Monday Night RAWSportsEnglish[]Running180.0181.01993-01-11Nonehttp://www.wwe.com/20:00[Monday]7.595NaN15.0WWE NetworkUnited StatesUSAmerica/New_YorkNoneNone6659.076779.0tt0185103https://static.tvmaze.com/uploads/images/medium_portrait/357/892591.jpghttps://static.tvmaze.com/uploads/images/original_untouched/357/892591.jpg<p><b>WWE Monday Night RAW</b> is World Wrestling Entertainment's (formerly the WWF and the WWWF before that) premiere wrestling event and brand. Since its launch in 1993, WWE Monday Night RAW continues to air live on Monday nights. It is generally seen as the company's flagship program due to its prolific history, high ratings, weekly live format, and emphasis on pay-per-views. Monday Night RAW is high profile enough to attract frequent visits from celebrities who usually serve as guest hosts for a single live event. Since its first episode, the show has been broadcast live or recorded from more than 197 different arenas in 165 cities and towns in seven different nations: including the United States, Canada, the United Kingdom twice a year, Afghanistan for a special Tribute to the Troops, Germany, Japan, Italy and Mexico.</p>1659846022https://api.tvmaze.com/shows/802https://api.tvmaze.com/episodes/2348841NaNhttps://api.tvmaze.com/episodes/2348842NaNNaN30.0USA NetworkUnited StatesUSAmerica/New_YorkNaNNaN
891987975https://www.tvmaze.com/episodes/1987975/dr-pimple-popper-5x01-leave-it-to-the-nevusLeave It to the Nevus51.0regular2020-12-2821:002020-12-29T02:00:00+00:0060.0<p>With pandemic safety protocols in place, Dr. Lee reopens her office. Monica has a large birthmark growing on the side of her face. Jackie has a melon-sized lump on the back of her shoulder. Reginald has large, rare growths on the back of his head.</p>8.5https://static.tvmaze.com/uploads/images/medium_landscape/340/851156.jpghttps://static.tvmaze.com/uploads/images/original_untouched/340/851156.jpghttps://api.tvmaze.com/episodes/198797534301https://www.tvmaze.com/shows/34301/dr-pimple-popperDr. Pimple PopperRealityEnglish[Medical]Running60.060.02018-07-11Nonehttps://go.tlc.com/show/dr-pimple-popper-tlc21:00[Wednesday]5.696NaN436.0discovery+United StatesUSAmerica/New_YorkNoneNoneNaN340489.0Nonehttps://static.tvmaze.com/uploads/images/medium_portrait/396/991129.jpghttps://static.tvmaze.com/uploads/images/original_untouched/396/991129.jpg<p>Dr. Sandra Lee is a renowned dermatological surgeon who is tasked with removing life-altering growths from her patients' skin so they can try to reclaim their lives.</p>1661796887https://api.tvmaze.com/shows/34301https://api.tvmaze.com/episodes/2380280NaNhttps://api.tvmaze.com/episodes/2380281NaNNaNNaNNaNNaNNaNNaNNaNNaN
902152587https://www.tvmaze.com/episodes/2152587/gang-wars-princes-1x12-serija-12Serija 12112.0regular2020-12-2821:002020-12-29T02:00:00+00:0045.0NoneNaNNaNNaNhttps://api.tvmaze.com/episodes/215258757009https://www.tvmaze.com/shows/57009/gang-wars-princesGang Wars. PrincesScriptedLithuanian[Drama, Crime, Thriller]EndedNaN45.02020-10-122020-12-28https://go3.lt/series/gauju-karai-princai,serial-2042036[Monday]NaN11NaN518.0Go3NaNNaNNaNNoneNoneNaN401790.0tt13229878https://static.tvmaze.com/uploads/images/medium_portrait/350/876606.jpghttps://static.tvmaze.com/uploads/images/original_untouched/350/876606.jpg<p>Based on true events, the new Go3 original series is a crime story that may have taken place in the late 20th century in Lithuania. The story about one of the criminal groups "Princes" shows their methods of action, lifestyle and relationships with other criminal gangs.</p>1636217065https://api.tvmaze.com/shows/57009https://api.tvmaze.com/episodes/2152587NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN